Lab064: measure OTA level linearity at TX VGA 10 dB

PROJECT_LOG.md

@@ -2661,3 +2661,203 @@ READY_BEHIND_EXPLICIT_MODE до отдельного контролируемо
 500K-пакетами. Оборудование не опрашивалось, RF TX=0. Lab061 фиксируется этим
 отдельным коммитом; push выполняется пользователем отдельно. Следующий этап:
 STOP; Lab062 автоматически не начинать.
+
+# Запись 056
+
+## Дата
+
+14 сентября 2026 года
+
+## Тема
+
+Lab062 — подготовка полного пакета 500K и аппаратный RX-only preflight
+
+## Выполнено
+
+От HEAD 25cc89f0c734f77141632d19dbcdb6b2f066d60b подготовлен один waveform
+из16 полных PHY-пакетов по256 байт payload:1476096 отсчётов,0,184512с,
+SHA-256 e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5.
+Строгий программный roundtrip legacy/T2 дал16/16 HEADER/FEC/CRC и точных
+payload в исходном порядке. Quick gate:962 теста ядра,35 функциональных
+проверок,13 пропусков; pytest:962 passed,0 failed.
+
+Фактическая схема:1400МГц,500ксимв/с, Fs8Мвыб/с, расстояние примерно1,2м,
+LOS в помещении; TX возле окна, RX на столе, одинаковая поляризация. Антенны,
+кабели и USB-схема неподвижны. Усиления сохранены: TX VGA10дБ, RX LNA/VGA
+24/24дБ, RF amplifier и Bias-Tee OFF. Общая опора:10МГц TCXO → MASTER →
+MASTER CLKOUT → SLAVE CLKIN, длинный кабель сохранён.
+
+Один аппаратный RX-only preflight подтвердил MASTER/SLAVE reg29=0x26 и SLAVE
+CLKIN=DETECTED на втором опросе через133,5795мс. Записано800000 отсчётов фона:
+полный RMS2,314058, AC RMS0,985483 кода, max|I|/|Q|=6/8, clipping0/800000,
+RX overruns0, неожиданно сильного сигнала нет. Отсутствие аналоговой компрессии
+этим не доказано. CLKOUT выключены без ошибок, процессы до/после CLEAR.
+
+RF TX=0, TX-команд не было, усиления не менялись, preflight не повторялся.
+Lab062 не коммитировалась, push не выполнялся. Следующий этап: STOP и ожидание
+отдельного явного разрешения на единственный Lab062 TX; Lab063 не начинать.
+
+# Запись 057
+
+## Дата
+
+14 сентября 2026 года
+
+## Тема
+
+Lab062 — единственный RF-сеанс полного пакета 500K и сравнение legacy/T2
+
+## Выполнено
+
+После отдельного разрешения пользователя выполнен один TX-сеанс подготовленного потока из 16
+полных PHY-пакетов. Перед TX повторная проверка подтвердила MASTER/SLAVE reg29=0x26 и SLAVE
+CLKIN=DETECTED. Автоматических и ручных повторов не было. RX сохранил 24 000 000 комплексных
+отсчётов за 3,000 с, 48 000 000 байт, SHA-256
+ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32; overruns0 и clipping0.
+
+В промежуточной строке TX-журнала зарегистрирован один underrun длиной до16672 байт, хотя
+итоговая строка утилиты сообщила0. Ненулевое наблюдение сохранено, сеанс признан
+`INVALID_TX_UNDERRUN`, повтор запрещён и не выполнялся. Cleanup прошёл без ошибок, SDR-процессы
+после сеанса CLEAR, RF TX=0.
+
+Одна и та же RX-запись независимо обработана строгими режимами legacy и T2 без fallback. Оба
+получили144 строгих кандидата,3 прохода PHY header,3 запуска и прохода FEC,3 запуска CRC,0 CRC
+PASS и0/16 пакетов. T2 gain равен0. Диагностические границы всех16 пакетов найдены только после
+строгого вердикта и не передавались приёмнику. По сопоставимой методике Lab058 средняя доля
+ошибочных символов равна0,099287, EVM1,220401, matched/residual−1,730051дБ, медианная
+неравномерность полосы p95–p05 равна6,660341дБ. Эти значения хуже Lab056 B, но их нельзя
+отделить от TX underrun.
+
+Lab062 не коммитировалась, push не выполнялся, Lab063 не создана. Следующий этап: RF TX=0 и
+отдельно согласовать только офлайн-локализацию underrun относительно границ пакетов.
+
+# Запись 058
+
+## Дата
+
+14 сентября 2026 года
+
+## Тема
+
+Lab063: офлайн-локализация TX underrun и глобального ухудшения Lab062
+
+## Выполнено
+
+Lab062 зафиксирована отдельным коммитом
+f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5 с сообщением
+`Lab062: record invalidated 500 ksymbol/s RF packet trial`; push не выполнялся. Статус
+`RF_SESSION_INVALID_TX_UNDERRUN`, результаты legacy/T2 0/16 и запрет повтора сохранены.
+
+По сохранённым TX/RX без аппаратных команд установлено, что 16 waveform по 92 256 отсчётов
+записаны вплотную: 92 256 × 16 = 1 476 096. Дополнительная межпакетная пауза равна нулю.
+`prepare()` не передаёт параметр паузы и не пишет нули между packet waveform, поэтому отсутствие
+обещанных 5 мс признано ошибкой реализации подготовки Lab062. Внутренние защитные участки и
+хвосты RRC каждого пакета сохранены.
+
+Строка `longest 16672 bytes` пересчитана в 8 336 комплексных отсчётов, 1,042 мс, 521 символ и
+9,035727% одного packet waveform. Это масштаб сообщения, а не доказанное число потерянных или
+повторённых RF-отсчётов. Локальное сопоставление 512-символьными окнами с шагом 256 символов
+дало 221 надёжное окно из 359. Задержка в них равна 0…1 отсчёту, скачков нет; место underrun по
+RX не локализовано. В 22 дополнительных внутренних окнах пакетов3,4,12,13 корреляция ниже0,15,
+поэтому задержка там не установлена. Края, повторяющаяся PRBS-преамбула и низкокорреляционные
+окна исключены из delay-verdict, но сохранены в CSV. Корреляционные копии преамбулы имеют период
+2 032 отсчёта.
+
+Все 16 пакетов хуже Lab056 B по SER, EVM и matched/residual. SER составляет
+7,580920…16,013629%, EVM 1,063657…1,663418, matched/residual от −4,420028 до
+−0,536031дБ. Пакеты 3,4,12,13 выделяются всплесками AC-мощности и остатка при стабильной
+медиане локального |h| 0,004488…0,004805. Пакет14 не имеет общего с ними физического признака.
+Результат классифицирован как `GLOBAL_RF_DEGRADATION`; один локальный underrun недостаточен для
+объяснения качества всего сеанса.
+
+AC RMS по пакетам равен0,760816…2,032438 кода, max|I|/|Q| лежат в диапазонах3…6/4…7,
+DC стабилен. Сильная аналоговая перегрузка по цифровым уровням менее вероятна, но без прибора не
+исключена. Локального исходного файла или документации, объясняющей расхождение промежуточного и
+итогового счётчиков `hackrf_transfer`, не найдено; `COUNTER SEMANTICS=NOT_ESTABLISHED`.
+
+Созданы постановка, отчёт, JSON, два CSV, восемь графиков, анализатор и тесты. Lab063 выполнена
+полностью офлайн, RF TX=0, оборудование не опрашивалось. Lab063 не коммитировалась, push не
+выполнялся. Следующий этап: STOP и отдельно согласовать исследование уровня RX, усилений,
+геометрии и возможной аналоговой компрессии или слабого полезного сигнала; Lab064 автоматически
+не создавать.
+
+# Запись 059
+
+## Дата
+
+14 сентября 2026 года
+
+## Тема
+
+Lab064: подготовка измерения уровня и линейности, RX-only preflight
+
+## Выполнено
+
+После фиксации Lab063 коммитом 4437917465274257ff0ca5d3c269029da45de3ec
+подготовлен один измерительный PRBS7/BPSK/RRC waveform без полного PHY-пакета.
+Параметры: 1400 МГц, 20000 символов/с, Fs 8000000 комплексных отсчётов/с,
+цифровая несущая +50000 Гц, TX VGA 10 дБ, RX LNA/VGA 24/24 дБ, RF amplifier и
+Bias-Tee выключены. Геометрия сохранена: примерно 1,2 м, LOS в помещении, TX
+возле окна, RX на столе, одинаковая поляризация.
+
+TX-файл содержит 100 мс начальных нулей, четыре одинаковых 100-мс участка с
+цифровыми уровнями −18/−12/−6/0 дБ, три нулевых промежутка по 50 мс и 100 мс
+конечных нулей. Полная длина равна 6000000 отсчётов и 0,75 с. RMS участков:
+5,556137/11,056978/22,056892/44,000457 кода; фактические шаги мощности:
++5,977270/+5,998157/+5,998257 дБ. Максимумы |I|/|Q| не превышают 69/69,
+цифрового clipping нет. SHA-256 TX:
+fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9.
+
+Подготовлены RX-first runner и офлайн-анализатор согласованной составляющей,
+остатка, комплексного h и линейности. Полные stdout/stderr и все промежуточные
+и финальные счётчики потерь сохраняются. Независимая read-only проверка нашла
+и помогла закрыть fail-closed ошибку: промежуточный underrun с финальным нулём
+теперь всегда даёт `INVALID_CAPTURE`, диагностические метрики не превращаются
+в A/B/C. Целевые тесты:13 passed. Quick gate:984 теста ядра,37 функциональных
+проверок,13 пропусков; pytest:984 passed,0 failed; diff-check PASS.
+
+Один разрешённый RX-only preflight подтвердил MASTER/SLAVE reg29=0x26 и SLAVE
+CLKIN=DETECTED при первом опросе через66,793мс. Записано800000 отсчётов фона:
+полный RMS2,193193, AC RMS0,832038 кода, средние I/Q 0,933738/1,801650,
+max|I|/|Q|=4/5, clipping0, overruns0, неожиданно сильного сигнала нет. SHA-256
+RX-only записи:02d87adcbb621027290a77d5f8fd3190c299d13e89f887cd294d4af352a6ef52.
+CLKOUT выключены без ошибок, процессы до и после CLEAR.
+
+Вызовов TX не было, `RF TX=0`. Lab064 не коммитируется до аппаратного
+результата, push не выполняется. Следующий этап: STOP и ожидание отдельного
+явного разрешения на единственный Lab064 TX; Lab065 не начинать.
+
+После отдельного прямого разрешения пользователя выполнен ровно один RF-сеанс
+подготовленного Lab064 waveform. Перед TX MASTER/SLAVE reg29 равнялись0x26,
+SLAVE CLKIN был обнаружен при втором опросе через139,042мс. RX стартовал раньше
+TX. Автоматических и ручных повторов не было. Все две строки TX underrun и все
+четыре строки RX overrun равны нулю. RX clipping отсутствует. Записано16000000
+комплексных отсчётов за2,000000с, SHA-256
+02015891948aaee52ff81e60fdfeb391bb9b76cd9192b75972b8fedbc8690d86.
+После отключения CLKOUT процессы CLEAR, ошибок очистки нет, RF TX=0.
+
+Пять окон цифрового нуля дали AC RMS0,718264…0,728217 кода; разброс фоновой
+AC-мощности равен0,119530дБ, фон стабилен. Согласованная мощность L0/L1/L2/L3
+равна0,000750751/0,002961235/0,011333436/0,045331864код². Ошибки трёх ступеней
+относительно цифрового TX равны−0,017501/−0,169270/+0,022162дБ. Общий рост
+L3/L0 равен17,809077дБ при цифровых17,973685дБ; ошибка−0,164609дБ. |h|
+составляет0,004882853/0,004872939/0,004778930/0,004791153. Верхняя ступень не
+показывает компрессии.
+
+Matched/residual для L0…L3 равен−32,086493/−25,577463/−16,691669/−12,133336дБ.
+По заранее заданным критериям результат `LINEAR_BUT_WEAK`: тракт линейно
+следует цифровому уровню, но полезная согласованная составляющая даже на L3
+слабее остатка. Абсолютная RF-мощность и разделение вклада TX/эфира/RX без
+измерительного прибора не установлены.
+
+Quick gate после сеанса прошёл:986 тестов ядра,37 функциональных проверок,13
+пропусков. Полный pytest:986 passed,0 failed. Lab064 не коммитировалась, push
+не выполнялся. Следующий отдельный шаг рекомендуется только после согласования:
+повтор той же лестницы при TX VGA20дБ и остальных неизменных условиях. Lab065
+не создана.
+
+Независимая read-only проверка повторно вычислила SHA, положение сегментов,
+пять окон фона, matched/residual, комплексные h, ступени мощности и амплитуды,
+полное сравнение L3/L0 и двенадцать спектральных значений непосредственно из
+CS8. Расхождений нет, вердикт `чисто`. Оборудование при проверке не опрашивалось,
+RF TX остаётся равным нулю.

data/processed/lab062/capture_result.json

@@ -0,0 +1,130 @@
+{
+  "lab": "Lab062",
+  "stage": "SINGLE_RF_CAPTURE",
+  "passed": false,
+  "rf_tx_count": 1,
+  "automatic_tx_repeats": 0,
+  "point": {
+    "frequency_hz": 1400000000,
+    "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+    "path_confirmed": true,
+    "tx_antenna": "existing 1400 MHz antenna near window",
+    "rx_antenna": "existing 1400 MHz antenna on desk",
+    "distance_m": 1.2,
+    "orientation": "same polarization; fixed during preflight and RF session",
+    "visibility": "LOS indoor"
+  },
+  "parameters": {
+    "rf_frequency_hz": 1400000000,
+    "sample_rate_hz": 8000000,
+    "symbol_rate": 500000,
+    "samples_per_symbol": 16,
+    "digital_carrier_hz": 50000.0,
+    "packets": 16,
+    "payload_bytes": 256,
+    "tx_vga_db": 10,
+    "rx_lna_db": 24,
+    "rx_vga_db": 24,
+    "rf_amplifier": false,
+    "bias_tee": false,
+    "geometry": {
+      "frequency_hz": 1400000000,
+      "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+      "path_confirmed": true,
+      "tx_antenna": "existing 1400 MHz antenna near window",
+      "rx_antenna": "existing 1400 MHz antenna on desk",
+      "distance_m": 1.2,
+      "orientation": "same polarization; fixed during preflight and RF session",
+      "visibility": "LOS indoor"
+    },
+    "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN"
+  },
+  "tx_sha256": "e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5",
+  "process_before": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 304,
+        "errors": []
+      }
+    ]
+  },
+  "inventory": {
+    "passed": true,
+    "serials": [
+      "000000000000000097c063dc2e5327d3",
+      "000000000000000097c063dc323b97d3"
+    ],
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3",
+    "raw_output": "hackrf_info version: 2024.02.1\nlibhackrf version: 2024.02.1 (0.9)\nFound HackRF\nIndex: 0\nSerial number: 000000000000000097c063dc323b97d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0x00744f5a\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One\n\nFound HackRF\nIndex: 1\nSerial number: 000000000000000097c063dc2e5327d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0xbc4b4739\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One"
+  },
+  "clock": {
+    "passed": true,
+    "master_reg29": 38,
+    "slave_reg29": 38,
+    "slave_clkin_status": "DETECTED",
+    "slave_clock_wait": {
+      "state": "DETECTED",
+      "queries": 2,
+      "time_to_detect_ms": 140.9547000657767,
+      "elapsed_ms": 140.9547000657767,
+      "polls": [
+        {
+          "query": 1,
+          "start_ms": 50.31830002553761,
+          "end_ms": 67.1174000017345,
+          "raw": "CLKIN status: no clock signal detected",
+          "state": "NOT_DETECTED",
+          "exit_code": 0
+        },
+        {
+          "query": 2,
+          "start_ms": 117.15810000896454,
+          "end_ms": 140.9547000657767,
+          "raw": "CLKIN status: clock signal detected",
+          "state": "DETECTED",
+          "exit_code": 0
+        }
+      ]
+    },
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3"
+  },
+  "rx_level_before_tx": {
+    "samples": 65536,
+    "mean_i": 0.957977294921875,
+    "mean_q": 1.857269287109375,
+    "power_code2": 4.886199951171875,
+    "ac_power_code2": 0.5190302487462768,
+    "rms_code": 2.2104750510177387,
+    "peak_magnitude_code": 4.123105625617661,
+    "max_abs_i": 3.0,
+    "max_abs_q": 4.0,
+    "papr_db": 5.414776863475277,
+    "clipped_components_fraction": 0.0,
+    "clipped_samples_fraction": 0.0,
+    "saturation_detected": false,
+    "analog_compression": "UNKNOWN_WITHOUT_CALIBRATION"
+  },
+  "rx_samples": 24000000,
+  "rx_bytes": 48000000,
+  "rx_duration_seconds": 3.0,
+  "error": "TX underrun или неоднозначный счётчик; повтор запрещён",
+  "process_after": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 304,
+        "errors": []
+      }
+    ]
+  },
+  "cleanup_errors": []
+}

data/processed/lab062/packet_comparison.csv

@@ -0,0 +1,17 @@
+packet_index,legacy_header,legacy_fec,legacy_crc,legacy_output,t2_header,t2_fec,t2_crc,t2_output,preamble_errors_t2,header_errors_t2,payload_errors_before_fec_t2,initial_frequency_hz_t2,t2_final_frequency_hz,t2_lock_status
+1,False,False,False,False,False,False,False,False,108,20,367,-2.511306789128502,1.938828000443245,NOT_DEFINED_BY_IMPLEMENTATION
+2,False,False,False,False,False,False,False,False,135,11,377,16.850274814266026,-2.223133252684196,NOT_DEFINED_BY_IMPLEMENTATION
+3,False,False,False,False,False,False,False,False,466,115,2229,-266.23811405950204,-265.79617151697045,NOT_DEFINED_BY_IMPLEMENTATION
+4,False,False,False,False,False,False,False,False,515,104,2266,297.2495839963796,293.7996556301242,NOT_DEFINED_BY_IMPLEMENTATION
+5,False,False,False,False,False,False,False,False,108,27,369,-1.7121731230326125,-0.8347122576256625,NOT_DEFINED_BY_IMPLEMENTATION
+6,True,True,False,False,True,True,False,False,112,10,345,4.67554618043703,-3.16390424095876,NOT_DEFINED_BY_IMPLEMENTATION
+7,False,False,False,False,False,False,False,False,113,7,344,2.1125086049646824,1.0944814837028547,NOT_DEFINED_BY_IMPLEMENTATION
+8,False,False,False,False,False,False,False,False,91,19,368,0.9638879273500407,0.35355297825700155,NOT_DEFINED_BY_IMPLEMENTATION
+9,False,False,False,False,False,False,False,False,105,21,367,-2.6793109690685877,0.19088110622128074,NOT_DEFINED_BY_IMPLEMENTATION
+10,False,False,False,False,False,False,False,False,116,7,345,-0.29035656707501434,0.9472030503555074,NOT_DEFINED_BY_IMPLEMENTATION
+11,False,False,False,False,True,True,False,False,109,9,392,0.7573187277726318,-0.14196556023732618,NOT_DEFINED_BY_IMPLEMENTATION
+12,False,False,False,False,False,False,False,False,297,110,2181,-223.04966205995262,-222.38930722105994,NOT_DEFINED_BY_IMPLEMENTATION
+13,False,False,False,False,False,False,False,False,304,36,524,-0.16099769754669116,-2.081420319755734,NOT_DEFINED_BY_IMPLEMENTATION
+14,True,True,False,False,False,False,False,False,314,127,2091,228.20916012396785,224.92813768839025,NOT_DEFINED_BY_IMPLEMENTATION
+15,True,True,False,False,True,True,False,False,131,7,395,-9.95965988857566,2.2844456653638283,NOT_DEFINED_BY_IMPLEMENTATION
+16,False,False,False,False,False,False,False,False,100,23,355,13.156526986310709,-0.8684121381823278,NOT_DEFINED_BY_IMPLEMENTATION

data/processed/lab062/preflight_result.json

@@ -0,0 +1,144 @@
+{
+  "lab": "Lab062",
+  "stage": "RX_ONLY_PREFLIGHT",
+  "passed": true,
+  "rf_tx_count": 0,
+  "point": {
+    "frequency_hz": 1400000000,
+    "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+    "path_confirmed": true,
+    "tx_antenna": "existing 1400 MHz antenna near window",
+    "rx_antenna": "existing 1400 MHz antenna on desk",
+    "distance_m": 1.2,
+    "orientation": "same polarization; fixed during preflight and RF session",
+    "visibility": "LOS indoor"
+  },
+  "parameters": {
+    "rf_frequency_hz": 1400000000,
+    "sample_rate_hz": 8000000,
+    "symbol_rate": 500000,
+    "samples_per_symbol": 16,
+    "digital_carrier_hz": 50000.0,
+    "packets": 16,
+    "payload_bytes": 256,
+    "tx_vga_db": 10,
+    "rx_lna_db": 24,
+    "rx_vga_db": 24,
+    "rf_amplifier": false,
+    "bias_tee": false,
+    "geometry": {
+      "frequency_hz": 1400000000,
+      "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+      "path_confirmed": true,
+      "tx_antenna": "existing 1400 MHz antenna near window",
+      "rx_antenna": "existing 1400 MHz antenna on desk",
+      "distance_m": 1.2,
+      "orientation": "same polarization; fixed during preflight and RF session",
+      "visibility": "LOS indoor"
+    },
+    "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN"
+  },
+  "tx_sha256": "e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5",
+  "stop_before_tx": true,
+  "process_before": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 308,
+        "errors": []
+      }
+    ]
+  },
+  "inventory": {
+    "passed": true,
+    "serials": [
+      "000000000000000097c063dc2e5327d3",
+      "000000000000000097c063dc323b97d3"
+    ],
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3",
+    "raw_output": "hackrf_info version: 2024.02.1\nlibhackrf version: 2024.02.1 (0.9)\nFound HackRF\nIndex: 0\nSerial number: 000000000000000097c063dc323b97d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0x00744f5a\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One\n\nFound HackRF\nIndex: 1\nSerial number: 000000000000000097c063dc2e5327d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0xbc4b4739\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One"
+  },
+  "clock": {
+    "passed": true,
+    "master_reg29": 38,
+    "slave_reg29": 38,
+    "slave_clkin_status": "DETECTED",
+    "slave_clock_wait": {
+      "state": "DETECTED",
+      "queries": 2,
+      "time_to_detect_ms": 133.57950001955032,
+      "elapsed_ms": 133.57950001955032,
+      "polls": [
+        {
+          "query": 1,
+          "start_ms": 50.528000108897686,
+          "end_ms": 67.34060007147491,
+          "raw": "CLKIN status: no clock signal detected",
+          "state": "NOT_DETECTED",
+          "exit_code": 0
+        },
+        {
+          "query": 2,
+          "start_ms": 117.69610014744103,
+          "end_ms": 133.57950001955032,
+          "raw": "CLKIN status: clock signal detected",
+          "state": "DETECTED",
+          "exit_code": 0
+        }
+      ]
+    },
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3"
+  },
+  "rx_process": {
+    "returncode": 0,
+    "stdout": "",
+    "stderr": "call hackrf_set_sample_rate(8000000 Hz/8.000 MHz)\ncall hackrf_set_hw_sync_mode(0)\ncall hackrf_set_freq(1400000000 Hz/1400.000 MHz)\ncall hackrf_set_amp_enable(0)\ncall hackrf_set_antenna_enable(0)\nsamples_to_xfer 800000/0Mio\nStop with Ctrl-C\n 1.8 MiB / 0.115 sec = 15.9 MiB/second, average power -34.5 dBfs, 9120 bytes free in buffer, 0 overruns, longest 0 bytes\n\nExiting...\nTotal time: 0.11549 s\nhackrf_stop_rx() done\nTransfer statistics:\n1847680 bytes transferred by M0\n1835008 bytes transferred by M4\n0 overruns, longest 0 bytes\nhackrf_close() done\nhackrf_exit() done\nfclose() done\nexit\n"
+  },
+  "rx_level": {
+    "samples": 800000,
+    "mean_i": 0.9660625,
+    "mean_q": 1.85752875,
+    "power_code2": 5.35486625,
+    "ac_power_code2": 0.9711764390171878,
+    "rms_code": 2.3140583938180987,
+    "peak_magnitude_code": 8.246211251235321,
+    "max_abs_i": 6.0,
+    "max_abs_q": 8.0,
+    "papr_db": 11.037602848982825,
+    "clipped_components_fraction": 0.0,
+    "clipped_samples_fraction": 0.0,
+    "saturation_detected": false,
+    "analog_compression": "UNKNOWN_WITHOUT_CALIBRATION",
+    "ac_rms_code": 0.9854828456229909,
+    "unexpected_strong_signal": false,
+    "strong_signal_rule": "AC RMS >= 20.0 code or max |I|/|Q| >= 100.0 code",
+    "symbol_energy": "NOT_APPLICABLE_TO_BACKGROUND"
+  },
+  "rx_sha256": "4cc0ceef5a95f84e5aa0c232d14ff1123efd307494b5c8a5646854be912fdbca",
+  "rx_overruns": 0,
+  "process_after": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 308,
+        "errors": []
+      }
+    ]
+  },
+  "cleanup_errors": [],
+  "processed_correction": {
+    "source": "data/raw/lab062/preflight_result.json",
+    "removed_field": "rx_level.symbol_energy_code2_seconds",
+    "removed_value": 0.00026774331249999997,
+    "reason": "inherited Lab056 20 ksymbol/s normalization is not applicable to RX-only background",
+    "preflight_pass_affected": false
+  }
+}

data/processed/lab062/preparation.json

@@ -0,0 +1,80 @@
+{
+  "lab": "Lab062",
+  "stage": "PREPARATION_ONLY",
+  "rf_tx_count": 0,
+  "head": "25cc89f0c734f77141632d19dbcdb6b2f066d60b",
+  "parameters": {
+    "rf_frequency_hz": 1400000000,
+    "sample_rate_hz": 8000000,
+    "symbol_rate": 500000,
+    "samples_per_symbol": 16,
+    "digital_carrier_hz": 50000.0,
+    "packets": 16,
+    "payload_bytes": 256,
+    "tx_vga_db": 10,
+    "rx_lna_db": 24,
+    "rx_vga_db": 24,
+    "rf_amplifier": false,
+    "bias_tee": false,
+    "geometry": {
+      "frequency_hz": 1400000000,
+      "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+      "path_confirmed": true,
+      "tx_antenna": "existing 1400 MHz antenna near window",
+      "rx_antenna": "existing 1400 MHz antenna on desk",
+      "distance_m": 1.2,
+      "orientation": "same polarization; fixed during preflight and RF session",
+      "visibility": "LOS indoor"
+    },
+    "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN"
+  },
+  "tx_samples": 1476096,
+  "tx_bytes": 2952192,
+  "tx_duration_seconds": 0.184512,
+  "tx_sha256": "e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5",
+  "rx_samples": 24000000,
+  "rx_duration_seconds": 3,
+  "automatic_retry": false,
+  "tx_command_prepared_not_run": [
+    "C:\\Users\\user\\Tools\\HackRF\\Library\\bin\\hackrf_transfer.exe",
+    "-d",
+    "000000000000000097c063dc323b97d3",
+    "-t",
+    "C:\\Users\\user\\Desktop\\projects\\SDR_Rover\\data\\raw\\lab062\\tx_stream.cs8",
+    "-f",
+    "1400000000",
+    "-s",
+    "8000000",
+    "-n",
+    "1476096",
+    "-x",
+    "10",
+    "-a",
+    "0",
+    "-p",
+    "0",
+    "-B"
+  ],
+  "rx_command_prepared_not_run": [
+    "C:\\Users\\user\\Tools\\HackRF\\Library\\bin\\hackrf_transfer.exe",
+    "-d",
+    "000000000000000097c063dc2e5327d3",
+    "-r",
+    "C:\\Users\\user\\Desktop\\projects\\SDR_Rover\\data\\raw\\lab062\\rx_stream.cs8",
+    "-f",
+    "1400000000",
+    "-s",
+    "8000000",
+    "-n",
+    "24000000",
+    "-l",
+    "24",
+    "-g",
+    "24",
+    "-a",
+    "0",
+    "-p",
+    "0",
+    "-B"
+  ]
+}

data/processed/lab062/software_gate.json

@@ -0,0 +1,25 @@
+{
+  "lab": "Lab062",
+  "stage": "SOFTWARE_GATE",
+  "rf_tx_count": 0,
+  "tx_sha256": "e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5",
+  "legacy": {
+    "mode": "legacy",
+    "packets": 16,
+    "header_pass": 16,
+    "fec_pass": 16,
+    "crc_pass": 16,
+    "exact_ordered_payloads": true,
+    "passed": true
+  },
+  "t2": {
+    "mode": "t2",
+    "packets": 16,
+    "header_pass": 16,
+    "fec_pass": 16,
+    "crc_pass": 16,
+    "exact_ordered_payloads": true,
+    "passed": true
+  },
+  "passed": true
+}

data/processed/lab063/local_alignment.csv

@@ -0,0 +1,360 @@
+window_index,tx_sample,rx_sample,time_seconds,local_delay_samples,packet_index,position_inside_packet_samples,inside_reliable_region,correlation_above_threshold,reliable_for_delay,normalized_correlation,gain,gain_amplitude,phase_rad,residual_power,rx_ac_power
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data/processed/lab063/packet_quality.csv

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data/processed/lab063/summary.json

@@ -0,0 +1,951 @@
+{
+  "lab": "Lab063",
+  "status": "COMPLETED_OFFLINE",
+  "rf_tx": 0,
+  "hardware_queries": 0,
+  "lab062_status_preserved": "RF_SESSION_INVALID_TX_UNDERRUN",
+  "lab062_commit": "f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5",
+  "physical_device": "Auron HackRF Plus",
+  "api_firmware_identification": "HackRF One r9",
+  "integrity": {
+    "tx_sha256": "e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5",
+    "rx_sha256": "ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32",
+    "tx_samples": 1476096,
+    "rx_samples": 24000000
+  },
+  "actual_inter_packet_gap": {
+    "tx_samples": 1476096,
+    "packets": 16,
+    "packet_waveform_samples": 92256,
+    "packet_product_samples": 1476096,
+    "identity_confirmed": true,
+    "additional_inter_packet_gap_samples": 0,
+    "additional_inter_packet_gap_seconds": 0.0,
+    "actual": "0 additional samples (no planned 5 ms gaps)",
+    "reason": "IMPLEMENTATION_OMISSION: prepare() writes the 16 complete packet waveforms back-to-back and has no gap parameter or zero-fill operation",
+    "packet_internal_note": "Each packet waveform still contains its own guards and RRC tails"
+  },
+  "tx_underrun_scale": {
+    "bytes": 16672,
+    "complex_samples": 8336,
+    "duration_seconds": 0.001042,
+    "duration_milliseconds": 1.042,
+    "symbols": 521.0,
+    "fraction_of_packet": 0.09035726673603885,
+    "percent_of_packet": 9.035726673603884,
+    "interpretation": "Scale only; RX does not prove that this many RF samples were lost or repeated"
+  },
+  "tx_underrun_log": {
+    "binary_path": "C:\\Users\\user\\Tools\\HackRF\\Library\\bin\\hackrf_transfer.exe",
+    "binary_exists": true,
+    "local_source_files": [],
+    "progress_line": "1 underruns, longest 16672 bytes",
+    "final_line": "0 underruns, longest 0 bytes",
+    "counter_semantics": "NOT_ESTABLISHED",
+    "note": "No local source or documentation was found that explains the reset between progress and final counters"
+  },
+  "background": {
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+    "local_delay_discontinuity_scope": "NO_IN_221_RELIABLE_WINDOWS; UNDETERMINED_IN_22_INTERNAL_LOW_CORRELATION_WINDOWS",
+    "underrun_location": "NOT_LOCALIZED_FROM_RX",
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+          "position_inside_packet_samples": 26336,
+          "normalized_correlation": 0.08726659571551212
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+        {
+          "window_index": 75,
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+          "tx_sample": 307200,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 4563291,
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+        {
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+        {
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+        {
+          "window_index": 78,
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+          "tx_sample": 319488,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 4575579,
+          "position_inside_packet_samples": 42720,
+          "normalized_correlation": 0.08111151553103035
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+        {
+          "window_index": 79,
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+          "tx_sample": 323584,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 4579675,
+          "position_inside_packet_samples": 46816,
+          "normalized_correlation": 0.10671176630261674
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+        {
+          "window_index": 81,
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+          "tx_sample": 331776,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 4587867,
+          "position_inside_packet_samples": 55008,
+          "normalized_correlation": 0.13566484987135102
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+        {
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+          "normalized_correlation": 0.12222192020312277
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+        {
+          "window_index": 263,
+          "packet_index": 12,
+          "tx_sample": 1077248,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5333339,
+          "position_inside_packet_samples": 62432,
+          "normalized_correlation": 0.08371985216496043
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+        {
+          "window_index": 264,
+          "packet_index": 12,
+          "tx_sample": 1081344,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5337436,
+          "position_inside_packet_samples": 66528,
+          "normalized_correlation": 0.07678297321464417
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+        {
+          "window_index": 265,
+          "packet_index": 12,
+          "tx_sample": 1085440,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5341532,
+          "position_inside_packet_samples": 70624,
+          "normalized_correlation": 0.075825225755414
+        },
+        {
+          "window_index": 266,
+          "packet_index": 12,
+          "tx_sample": 1089536,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5345627,
+          "position_inside_packet_samples": 74720,
+          "normalized_correlation": 0.0777915075019332
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+        {
+          "window_index": 267,
+          "packet_index": 12,
+          "tx_sample": 1093632,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5349723,
+          "position_inside_packet_samples": 78816,
+          "normalized_correlation": 0.0828610428066847
+        },
+        {
+          "window_index": 268,
+          "packet_index": 12,
+          "tx_sample": 1097728,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5353821,
+          "position_inside_packet_samples": 82912,
+          "normalized_correlation": 0.08195769883417732
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+        {
+          "window_index": 277,
+          "packet_index": 13,
+          "tx_sample": 1134592,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5390682,
+          "position_inside_packet_samples": 27520,
+          "normalized_correlation": 0.08301430893626999
+        },
+        {
+          "window_index": 278,
+          "packet_index": 13,
+          "tx_sample": 1138688,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5394779,
+          "position_inside_packet_samples": 31616,
+          "normalized_correlation": 0.07878097899540573
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+        {
+          "window_index": 279,
+          "packet_index": 13,
+          "tx_sample": 1142784,
+          "rx_sample_selected_but_not_used_for_delay_verdict": 5398876,
+          "position_inside_packet_samples": 35712,
+          "normalized_correlation": 0.09576023729412096
+        }
+      ],
+      "interpretation": "Delay is not established in these windows; low correlation is itself a local anomaly, but it does not identify an underrun without a reliable timing discontinuity"
+    },
+    "excluded_region_reason": "Packet edges and repeated PRBS preamble have correlation aliases spaced by 2032 samples; 22 additional internal windows are below the 0.15 correlation threshold. All are retained in CSV, and delay is not asserted for any excluded window"
+  },
+  "packet_quality": [
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+      "max_complex_magnitude": 4.242640495300293,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.06757077591598337,
+      "symbol_error_rate": 0.08347529812606473,
+      "symbol_rms_deviation": 1.0923957700987015,
+      "matched_component_power": 0.6971368095977797,
+      "residual_power": 0.8319132362097249,
+      "matched_residual_db": -0.7676001965024029,
+      "band_gain_nonuniformity_db": 6.678161163217084,
+      "initial_frequency_hz": -1.3378733037888852,
+      "diagnostic_residual_phase_error_rad": 0.7703154441715622,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.26769649861033307,
+      "local_correlation_min": 0.25301897115559957,
+      "local_gain_amplitude_median": 0.004684343948400701,
+      "local_phase_unwrapped_span_rad": 0.1578122760403755,
+      "ser_minus_lab056_b": 0.048516338126064734,
+      "evm_minus_lab056_b": 0.24704577009870143,
+      "matched_residual_minus_lab056_b_db": -2.232446196502403,
+      "ripple_minus_lab056_b_db": 1.2067791632170835
+    },
+    {
+      "packet_index": 11,
+      "raw_power_code2": 4.919918487686438,
+      "rms_full_iq_code": 2.218088926911281,
+      "mean_i": 0.9430389351370101,
+      "mean_q": 1.852898456468956,
+      "ac_power_code2": 0.5973633645170526,
+      "ac_rms_code": 0.7728928544869933,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.07208112421037827,
+      "symbol_error_rate": 0.08049403747870527,
+      "symbol_rms_deviation": 1.0853439130113745,
+      "matched_component_power": 0.6882509611422404,
+      "residual_power": 0.8107399547939167,
+      "matched_residual_db": -0.7113474983787614,
+      "band_gain_nonuniformity_db": 6.630624104636567,
+      "initial_frequency_hz": 1.1396956047405093,
+      "diagnostic_residual_phase_error_rad": 0.8869440636679229,
+      "local_delay_median_samples": 1.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.2677790176885852,
+      "local_correlation_min": 0.24298761555141254,
+      "local_gain_amplitude_median": 0.0046615184329749015,
+      "local_phase_unwrapped_span_rad": 0.11596124244647732,
+      "ser_minus_lab056_b": 0.04553507747870528,
+      "evm_minus_lab056_b": 0.2399939130113744,
+      "matched_residual_minus_lab056_b_db": -2.1761934983787614,
+      "ripple_minus_lab056_b_db": 1.1592421046365669
+    },
+    {
+      "packet_index": 12,
+      "raw_power_code2": 6.8007067291016305,
+      "rms_full_iq_code": 2.607816467679739,
+      "mean_i": 0.9549947970863684,
+      "mean_q": 1.8480749219562955,
+      "ac_power_code2": 2.4733107494758295,
+      "ac_rms_code": 1.5726763015559908,
+      "max_abs_i": 6.0,
+      "max_abs_q": 7.0,
+      "max_complex_magnitude": 8.062257766723633,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 1.9480285091691552,
+      "symbol_error_rate": 0.12819420783645655,
+      "symbol_rms_deviation": 1.4566037803957919,
+      "matched_component_power": 0.6313306634190563,
+      "residual_power": 1.3394908423846723,
+      "matched_residual_db": -3.2668286553130113,
+      "band_gain_nonuniformity_db": 7.945031576922354,
+      "initial_frequency_hz": -0.15870982770940278,
+      "diagnostic_residual_phase_error_rad": 1.0850946010670803,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.2691949358576327,
+      "local_correlation_min": 0.2602069168691974,
+      "local_gain_amplitude_median": 0.004654618220793532,
+      "local_phase_unwrapped_span_rad": 0.10483842514826858,
+      "ser_minus_lab056_b": 0.09323524783645655,
+      "evm_minus_lab056_b": 0.6112537803957918,
+      "matched_residual_minus_lab056_b_db": -4.731674655313011,
+      "ripple_minus_lab056_b_db": 2.4736495769223534
+    },
+    {
+      "packet_index": 13,
+      "raw_power_code2": 7.57159425945196,
+      "rms_full_iq_code": 2.751653004913948,
+      "mean_i": 0.9523066250433576,
+      "mean_q": 1.8468283905653833,
+      "ac_power_code2": 3.253931247152167,
+      "ac_rms_code": 1.8038656399943336,
+      "max_abs_i": 6.0,
+      "max_abs_q": 7.0,
+      "max_complex_magnitude": 7.810249328613281,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 2.7286490068454925,
+      "symbol_error_rate": 0.16013628620102216,
+      "symbol_rms_deviation": 1.542471770787923,
+      "matched_component_power": 0.6706715317796331,
+      "residual_power": 1.5956745609431342,
+      "matched_residual_db": -3.764344492637608,
+      "band_gain_nonuniformity_db": 9.871896166053979,
+      "initial_frequency_hz": -3.768747766207012,
+      "diagnostic_residual_phase_error_rad": 1.4778689507229945,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.25756193885232326,
+      "local_correlation_min": 0.2383815900640343,
+      "local_gain_amplitude_median": 0.004487614735363821,
+      "local_phase_unwrapped_span_rad": 0.0618646152553739,
+      "ser_minus_lab056_b": 0.12517732620102218,
+      "evm_minus_lab056_b": 0.6971217707879229,
+      "matched_residual_minus_lab056_b_db": -5.229190492637608,
+      "ripple_minus_lab056_b_db": 4.400514166053979
+    },
+    {
+      "packet_index": 14,
+      "raw_power_code2": 4.931039715574054,
+      "rms_full_iq_code": 2.220594450946425,
+      "mean_i": 0.9521657127991675,
+      "mean_q": 1.8542859001040584,
+      "ac_power_code2": 0.5860439716189889,
+      "ac_rms_code": 0.7655350884309542,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.06076173131231455,
+      "symbol_error_rate": 0.09454855195911414,
+      "symbol_rms_deviation": 1.1250423245117716,
+      "matched_component_power": 0.6318534852320092,
+      "residual_power": 0.7997497398817571,
+      "matched_residual_db": -1.0233772215014318,
+      "band_gain_nonuniformity_db": 6.450865575756282,
+      "initial_frequency_hz": 0.07157023489205856,
+      "diagnostic_residual_phase_error_rad": 0.8500145465030344,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.25880367193626036,
+      "local_correlation_min": 0.24902334455788566,
+      "local_gain_amplitude_median": 0.004498680092492703,
+      "local_phase_unwrapped_span_rad": 0.11686979564231703,
+      "ser_minus_lab056_b": 0.059589591959114147,
+      "evm_minus_lab056_b": 0.2796923245117715,
+      "matched_residual_minus_lab056_b_db": -2.488223221501432,
+      "ripple_minus_lab056_b_db": 0.9794835757562819
+    },
+    {
+      "packet_index": 15,
+      "raw_power_code2": 4.914639698231009,
+      "rms_full_iq_code": 2.2168986666582233,
+      "mean_i": 0.9496509712105445,
+      "mean_q": 1.8523890045091918,
+      "ac_power_code2": 0.5814577070833247,
+      "ac_rms_code": 0.7625337416031664,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.05617546677665031,
+      "symbol_error_rate": 0.09284497444633731,
+      "symbol_rms_deviation": 1.1566134639773282,
+      "matched_component_power": 0.6485174305492952,
+      "residual_power": 0.8675572440266134,
+      "matched_residual_db": -1.2637648711797032,
+      "band_gain_nonuniformity_db": 7.550266963349408,
+      "initial_frequency_hz": 0.6368695507363243,
+      "diagnostic_residual_phase_error_rad": 5.326810530921518,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.26432524091011667,
+      "local_correlation_min": 0.24252120082883175,
+      "local_gain_amplitude_median": 0.00457300739571061,
+      "local_phase_unwrapped_span_rad": 0.08002037051007749,
+      "ser_minus_lab056_b": 0.057886014446337314,
+      "evm_minus_lab056_b": 0.3112634639773282,
+      "matched_residual_minus_lab056_b_db": -2.7286108711797032,
+      "ripple_minus_lab056_b_db": 2.0788849633494078
+    },
+    {
+      "packet_index": 16,
+      "raw_power_code2": 4.976760319112036,
+      "rms_full_iq_code": 2.2308653744930544,
+      "mean_i": 0.956902532084634,
+      "mean_q": 1.864615851543531,
+      "ac_power_code2": 0.5843055893746447,
+      "ac_rms_code": 0.7643988418192722,
+      "max_abs_i": 3.0,
+      "max_abs_q": 4.0,
+      "max_complex_magnitude": 4.4721360206604,
+      "background_ac_power_code2": 0.5252822403066744,
+      "background_subtracted_useful_power_code2": 0.059023349067970354,
+      "symbol_error_rate": 0.08603066439522998,
+      "symbol_rms_deviation": 1.063656865382626,
+      "matched_component_power": 0.7029467258520877,
+      "residual_power": 0.7952899743189897,
+      "matched_residual_db": -0.5360309519366353,
+      "band_gain_nonuniformity_db": 6.3916733554839595,
+      "initial_frequency_hz": 1.3365576309608829,
+      "diagnostic_residual_phase_error_rad": 0.7414410771269146,
+      "local_delay_median_samples": 0.0,
+      "local_delay_min_samples": 0,
+      "local_delay_max_samples": 1,
+      "local_correlation_median": 0.26939315416499676,
+      "local_correlation_min": 0.26084853462192703,
+      "local_gain_amplitude_median": 0.004663845798926014,
+      "local_phase_unwrapped_span_rad": 0.13577682602915098,
+      "ser_minus_lab056_b": 0.05107170439522998,
+      "evm_minus_lab056_b": 0.2183068653826259,
+      "matched_residual_minus_lab056_b_db": -2.000876951936635,
+      "ripple_minus_lab056_b_db": 0.9202913554839594
+    }
+  ],
+  "group_trends": [
+    {
+      "packets": "1-4",
+      "useful_power_mean": 1.2272133383749813,
+      "symbol_error_rate_mean": 0.11030664395229983,
+      "symbol_rms_deviation_mean": 1.303626432427683,
+      "matched_component_power_mean": 0.672691886362818,
+      "residual_power_mean": 1.179421002324599,
+      "matched_residual_db_mean": -2.16970094573799,
+      "initial_frequency_hz_mean": 1.067890679251471,
+      "diagnostic_residual_phase_error_rad_mean": 3.153348518335517,
+      "local_phase_unwrapped_span_rad_mean": 0.11741908337326645,
+      "local_gain_amplitude_median": 0.004637231352846487
+    },
+    {
+      "packets": "5-8",
+      "useful_power_mean": 0.05970891892124652,
+      "symbol_error_rate_mean": 0.08304940374787052,
+      "symbol_rms_deviation_mean": 1.1127520393346606,
+      "matched_component_power_mean": 0.6666827933918614,
+      "residual_power_mean": 0.8249609296629852,
+      "matched_residual_db_mean": -0.9264271709367542,
+      "initial_frequency_hz_mean": -1.0855404181950195,
+      "diagnostic_residual_phase_error_rad_mean": 2.0989687712876277,
+      "local_phase_unwrapped_span_rad_mean": 0.1500200844908845,
+      "local_gain_amplitude_median": 0.004607826516255922
+    },
+    {
+      "packets": "9-12",
+      "useful_power_mean": 0.5383091265096853,
+      "symbol_error_rate_mean": 0.09540034071550255,
+      "symbol_rms_deviation_mean": 1.1940436147908833,
+      "matched_component_power_mean": 0.668710170261926,
+      "residual_power_mean": 0.9600473387737937,
+      "matched_residual_db_mean": -1.4744532275666877,
+      "initial_frequency_hz_mean": 0.11884859957967997,
+      "diagnostic_residual_phase_error_rad_mean": 0.9540548268968803,
+      "local_phase_unwrapped_span_rad_mean": 0.12851058969459328,
+      "local_gain_amplitude_median": 0.004658068326884217
+    },
+    {
+      "packets": "13-16",
+      "useful_power_mean": 0.7261523885006069,
+      "symbol_error_rate_mean": 0.10839011925042591,
+      "symbol_rms_deviation_mean": 1.2219461061649122,
+      "matched_component_power_mean": 0.6634972933532564,
+      "residual_power_mean": 1.0145678797926236,
+      "matched_residual_db_mean": -1.6468793843138447,
+      "initial_frequency_hz_mean": -0.4309375874044365,
+      "diagnostic_residual_phase_error_rad_mean": 2.0990337763186155,
+      "local_phase_unwrapped_span_rad_mean": 0.09863290185922985,
+      "local_gain_amplitude_median": 0.0045358437441016565
+    }
+  ],
+  "special_packets_3_4_12_14": {
+    "packets": [
+      3,
+      4,
+      12,
+      14
+    ],
+    "all_have_power_drop_below_median": false,
+    "all_have_correlation_below_median": false,
+    "all_have_large_delay_change": false,
+    "interpretation": "No common underrun signature unless one of all three booleans is true with localized alignment evidence"
+  },
+  "packets_most_affected": [
+    13,
+    4,
+    12,
+    3
+  ],
+  "active_rx_level": {
+    "ac_rms_min": 0.7608161672470135,
+    "ac_rms_max": 2.032437528131502,
+    "max_abs_i_min": 3.0,
+    "max_abs_i_max": 6.0,
+    "max_abs_q_min": 4.0,
+    "max_abs_q_max": 7.0,
+    "mean_i_min": 0.9430389351370101,
+    "mean_i_max": 0.9700940860215054,
+    "mean_q_min": 1.8294528269164065,
+    "mean_q_max": 1.864615851543531,
+    "local_gain_amplitude_median_min": 0.004487614735363821,
+    "local_gain_amplitude_median_max": 0.004805263148615891,
+    "analog_overload": "LESS_LIKELY_FROM_DIGITAL_LEVEL_BUT_NOT_EXCLUDED_WITHOUT_INSTRUMENT"
+  },
+  "lab056_comparison": {
+    "reference": {
+      "symbol_error_rate": 0.03495896,
+      "evm_rms": 0.84535,
+      "matched_residual_db": 1.464846,
+      "band_ripple_db": 5.471382
+    },
+    "packets_worse_on_all_three_core_metrics": [
+      1,
+      2,
+      3,
+      4,
+      5,
+      6,
+      7,
+      8,
+      9,
+      10,
+      11,
+      12,
+      13,
+      14,
+      15,
+      16
+    ]
+  },
+  "quality_distribution": "GLOBAL",
+  "primary_cause_status": "PARTIALLY_LOCALIZED",
+  "packets_worse_than_lab056_on_ser_evm_and_matched_residual": [
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12,
+    13,
+    14,
+    15,
+    16
+  ],
+  "global_degradation_rule": "at least 12/16 packets worse than Lab056 B on SER, EVM and matched/residual",
+  "global_degradation": true,
+  "local_delay_discontinuity": false,
+  "next_single_step": "Before another TX, investigate the low active RX level, gain/geometry and possible analogue compression; also change TX streaming/logging so any underrun is unambiguous. Do not change RF parameters yet.",
+  "lab063_commit": "NOT_PERFORMED",
+  "push": "NOT_PERFORMED",
+  "lab064": "NOT_CREATED"
+}

data/processed/lab064/capture_result.json

@@ -0,0 +1,230 @@
+{
+  "lab": "Lab064",
+  "stage": "SINGLE_RF_LEVEL_CAPTURE",
+  "passed": true,
+  "rf_tx_count": 1,
+  "automatic_tx_repeats": 0,
+  "point": {
+    "frequency_hz": 1400000000,
+    "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+    "path_confirmed": true,
+    "tx_antenna": "existing 1400 MHz antenna near window",
+    "rx_antenna": "existing 1400 MHz antenna on desk",
+    "distance_m": 1.2,
+    "orientation": "same polarization; fixed during preflight and RF session",
+    "visibility": "LOS indoor"
+  },
+  "parameters": {
+    "rf_frequency_hz": 1400000000,
+    "sample_rate_hz": 8000000,
+    "symbol_rate": 20000,
+    "samples_per_symbol": 400,
+    "digital_carrier_hz": 50000,
+    "rrc_rolloff": 0.35,
+    "rrc_span_symbols": 10,
+    "prbs": "PRBS7 x^7+x^6+1, deterministic initial state",
+    "full_phy_packet": false,
+    "tx_vga_db": 10,
+    "rx_lna_db": 24,
+    "rx_vga_db": 24,
+    "rf_amplifier": false,
+    "bias_tee": false,
+    "geometry": {
+      "frequency_hz": 1400000000,
+      "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+      "path_confirmed": true,
+      "tx_antenna": "existing 1400 MHz antenna near window",
+      "rx_antenna": "existing 1400 MHz antenna on desk",
+      "distance_m": 1.2,
+      "orientation": "same polarization; fixed during preflight and RF session",
+      "visibility": "LOS indoor"
+    },
+    "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN",
+    "levels_db_relative_nominal": [
+      -18.0,
+      -12.0,
+      -6.0,
+      0.0
+    ]
+  },
+  "tx_sha256": "fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9",
+  "process_before": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 333,
+        "errors": []
+      }
+    ]
+  },
+  "inventory": {
+    "passed": true,
+    "serials": [
+      "000000000000000097c063dc2e5327d3",
+      "000000000000000097c063dc323b97d3"
+    ],
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3",
+    "raw_output": "hackrf_info version: 2024.02.1\nlibhackrf version: 2024.02.1 (0.9)\nFound HackRF\nIndex: 0\nSerial number: 000000000000000097c063dc323b97d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0x00744f5a\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One\n\nFound HackRF\nIndex: 1\nSerial number: 000000000000000097c063dc2e5327d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0xbc4b4739\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One"
+  },
+  "clock": {
+    "passed": true,
+    "master_reg29": 38,
+    "slave_reg29": 38,
+    "slave_clkin_status": "DETECTED",
+    "slave_clock_wait": {
+      "state": "DETECTED",
+      "queries": 2,
+      "time_to_detect_ms": 139.0420999377966,
+      "elapsed_ms": 139.0420999377966,
+      "polls": [
+        {
+          "query": 1,
+          "start_ms": 50.13589980080724,
+          "end_ms": 67.04779993742704,
+          "raw": "CLKIN status: no clock signal detected",
+          "state": "NOT_DETECTED",
+          "exit_code": 0
+        },
+        {
+          "query": 2,
+          "start_ms": 117.27159982547164,
+          "end_ms": 139.0420999377966,
+          "raw": "CLKIN status: clock signal detected",
+          "state": "DETECTED",
+          "exit_code": 0
+        }
+      ]
+    },
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3"
+  },
+  "rx_level_before_tx": {
+    "samples": 65536,
+    "mean_i": 0.9547576904296875,
+    "mean_q": 1.83575439453125,
+    "power_code2": 4.8329315185546875,
+    "ac_power_code2": 0.5513750740792602,
+    "rms_code": 2.1983929399801774,
+    "peak_magnitude_code": 4.242640687119285,
+    "max_abs_i": 3.0,
+    "max_abs_q": 4.0,
+    "papr_db": 5.710618637663133,
+    "clipped_components_fraction": 0.0,
+    "clipped_samples_fraction": 0.0,
+    "saturation_detected": false,
+    "analog_compression": "UNKNOWN_WITHOUT_CALIBRATION"
+  },
+  "tx_process": {
+    "returncode": 0,
+    "stdout_file": "tx_stdout.txt",
+    "stderr_file": "tx_stderr.txt"
+  },
+  "tx_counter_summary": {
+    "expected_kind": "underrun",
+    "observations": [
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "underrun",
+        "text": "0 underruns",
+        "character_offset": 337
+      },
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "underrun",
+        "text": "0 underruns",
+        "character_offset": 509
+      }
+    ],
+    "selected_counts": [
+      0,
+      0
+    ],
+    "final_count": 0,
+    "maximum_count": 0,
+    "unparsed_loss_text": false,
+    "clean": true
+  },
+  "rx_samples": 16000000,
+  "rx_bytes": 32000000,
+  "rx_duration_seconds": 2.0,
+  "rx_counter_summary": {
+    "expected_kind": "overrun",
+    "observations": [
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "overrun",
+        "text": "0 overruns",
+        "character_offset": 336
+      },
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "overrun",
+        "text": "0 overruns",
+        "character_offset": 458
+      },
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "overrun",
+        "text": "0 overruns",
+        "character_offset": 580
+      },
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "overrun",
+        "text": "0 overruns",
+        "character_offset": 751
+      }
+    ],
+    "selected_counts": [
+      0,
+      0,
+      0,
+      0
+    ],
+    "final_count": 0,
+    "maximum_count": 0,
+    "unparsed_loss_text": false,
+    "clean": true
+  },
+  "rx_sha256": "02015891948aaee52ff81e60fdfeb391bb9b76cd9192b75972b8fedbc8690d86",
+  "rx_level": {
+    "samples": 16000000,
+    "mean_i": 0.9548163125,
+    "mean_q": 1.83674125,
+    "power_code2": 5.2568038125,
+    "ac_power_code2": 0.9715112024323407,
+    "rms_code": 2.2927720803647276,
+    "peak_magnitude_code": 8.602325267042627,
+    "max_abs_i": 7.0,
+    "max_abs_q": 8.0,
+    "papr_db": 11.485099505760791,
+    "clipped_components_fraction": 0.0,
+    "clipped_samples_fraction": 0.0,
+    "saturation_detected": false,
+    "analog_compression": "UNKNOWN_WITHOUT_CALIBRATION"
+  },
+  "rx_clipping": false,
+  "process_after": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 333,
+        "errors": []
+      }
+    ]
+  },
+  "cleanup_errors": []
+}

data/processed/lab064/preflight_result.json

@@ -0,0 +1,164 @@
+{
+  "lab": "Lab064",
+  "stage": "COMMON_CLOCK_AND_RX_ONLY_PREFLIGHT",
+  "passed": true,
+  "rf_tx_count": 0,
+  "stop_before_tx": true,
+  "point": {
+    "frequency_hz": 1400000000,
+    "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+    "path_confirmed": true,
+    "tx_antenna": "existing 1400 MHz antenna near window",
+    "rx_antenna": "existing 1400 MHz antenna on desk",
+    "distance_m": 1.2,
+    "orientation": "same polarization; fixed during preflight and RF session",
+    "visibility": "LOS indoor"
+  },
+  "parameters": {
+    "rf_frequency_hz": 1400000000,
+    "sample_rate_hz": 8000000,
+    "symbol_rate": 20000,
+    "samples_per_symbol": 400,
+    "digital_carrier_hz": 50000,
+    "rrc_rolloff": 0.35,
+    "rrc_span_symbols": 10,
+    "prbs": "PRBS7 x^7+x^6+1, deterministic initial state",
+    "full_phy_packet": false,
+    "tx_vga_db": 10,
+    "rx_lna_db": 24,
+    "rx_vga_db": 24,
+    "rf_amplifier": false,
+    "bias_tee": false,
+    "geometry": {
+      "frequency_hz": 1400000000,
+      "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+      "path_confirmed": true,
+      "tx_antenna": "existing 1400 MHz antenna near window",
+      "rx_antenna": "existing 1400 MHz antenna on desk",
+      "distance_m": 1.2,
+      "orientation": "same polarization; fixed during preflight and RF session",
+      "visibility": "LOS indoor"
+    },
+    "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN",
+    "levels_db_relative_nominal": [
+      -18.0,
+      -12.0,
+      -6.0,
+      0.0
+    ]
+  },
+  "tx_sha256": "fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9",
+  "process_before": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 329,
+        "errors": []
+      }
+    ]
+  },
+  "inventory": {
+    "passed": true,
+    "serials": [
+      "000000000000000097c063dc2e5327d3",
+      "000000000000000097c063dc323b97d3"
+    ],
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3",
+    "raw_output": "hackrf_info version: 2024.02.1\nlibhackrf version: 2024.02.1 (0.9)\nFound HackRF\nIndex: 0\nSerial number: 000000000000000097c063dc323b97d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0x00744f5a\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One\n\nFound HackRF\nIndex: 1\nSerial number: 000000000000000097c063dc2e5327d3\nBoard ID Number: 4 (HackRF One)\nFirmware Version: 2024.02.1 (API:1.08)\nPart ID Number: 0xa000cb3c 0xbc4b4739\nHardware Revision: r9\nHardware does not appear to have been manufactured by Great Scott Gadgets.\nHardware supported by installed firmware:\n    HackRF One"
+  },
+  "clock": {
+    "passed": true,
+    "master_reg29": 38,
+    "slave_reg29": 38,
+    "slave_clkin_status": "DETECTED",
+    "slave_clock_wait": {
+      "state": "DETECTED",
+      "queries": 1,
+      "time_to_detect_ms": 66.79299985989928,
+      "elapsed_ms": 66.79299985989928,
+      "polls": [
+        {
+          "query": 1,
+          "start_ms": 50.07890006527305,
+          "end_ms": 66.79299985989928,
+          "raw": "CLKIN status: clock signal detected",
+          "state": "DETECTED",
+          "exit_code": 0
+        }
+      ]
+    },
+    "master_serial": "000000000000000097c063dc323b97d3",
+    "slave_serial": "000000000000000097c063dc2e5327d3"
+  },
+  "rx_process": {
+    "returncode": 0,
+    "stdout": "",
+    "stderr": "call hackrf_set_sample_rate(8000000 Hz/8.000 MHz)\ncall hackrf_set_hw_sync_mode(0)\ncall hackrf_set_freq(1400000000 Hz/1400.000 MHz)\ncall hackrf_set_amp_enable(0)\ncall hackrf_set_antenna_enable(0)\nsamples_to_xfer 800000/0Mio\nStop with Ctrl-C\n 1.8 MiB / 0.117 sec = 15.6 MiB/second, average power -35.3 dBfs, 9792 bytes free in buffer, 0 overruns, longest 0 bytes\n\nExiting...\nTotal time: 0.11842 s\nhackrf_stop_rx() done\nTransfer statistics:\n1892448 bytes transferred by M0\n1867776 bytes transferred by M4\n0 overruns, longest 0 bytes\nhackrf_close() done\nhackrf_exit() done\nfclose() done\nexit\n"
+  },
+  "rx_counter_summary": {
+    "expected_kind": "overrun",
+    "observations": [
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "overrun",
+        "text": "0 overruns",
+        "character_offset": 333
+      },
+      {
+        "count": 0,
+        "role": "UNKNOWN",
+        "kind": "overrun",
+        "text": "0 overruns",
+        "character_offset": 502
+      }
+    ],
+    "selected_counts": [
+      0,
+      0
+    ],
+    "final_count": 0,
+    "maximum_count": 0,
+    "unparsed_loss_text": false,
+    "clean": true
+  },
+  "rx_level": {
+    "samples": 800000,
+    "mean_i": 0.9337375,
+    "mean_q": 1.80165,
+    "power_code2": 4.810095,
+    "ac_power_code2": 0.6922865585937501,
+    "rms_code": 2.1931928779749397,
+    "peak_magnitude_code": 5.385164807134504,
+    "max_abs_i": 4.0,
+    "max_abs_q": 5.0,
+    "papr_db": 7.802443440680863,
+    "clipped_components_fraction": 0.0,
+    "clipped_samples_fraction": 0.0,
+    "saturation_detected": false,
+    "analog_compression": "UNKNOWN_WITHOUT_CALIBRATION",
+    "symbol_energy": "NOT_APPLICABLE_TO_BACKGROUND",
+    "ac_rms_code": 0.8320375944593791,
+    "unexpected_strong_signal": false,
+    "strong_signal_rule": "AC RMS >= 20.0 code or max |I|/|Q| >= 100.0 code"
+  },
+  "rx_sha256": "02d87adcbb621027290a77d5f8fd3190c299d13e89f887cd294d4af352a6ef52",
+  "rx_overruns": 0,
+  "process_after": {
+    "state": "CLEAR",
+    "attempts": [
+      {
+        "state": "CLEAR",
+        "mechanism": "psutil",
+        "matches": [],
+        "inspected": 329,
+        "errors": []
+      }
+    ]
+  },
+  "cleanup_errors": []
+}

data/processed/lab064/preparation.json

@@ -0,0 +1,221 @@
+{
+  "lab": "Lab064",
+  "stage": "PREPARATION_ONLY",
+  "rf_tx_count": 0,
+  "head": "4437917465274257ff0ca5d3c269029da45de3ec",
+  "parameters": {
+    "rf_frequency_hz": 1400000000,
+    "sample_rate_hz": 8000000,
+    "symbol_rate": 20000,
+    "samples_per_symbol": 400,
+    "digital_carrier_hz": 50000,
+    "rrc_rolloff": 0.35,
+    "rrc_span_symbols": 10,
+    "prbs": "PRBS7 x^7+x^6+1, deterministic initial state",
+    "full_phy_packet": false,
+    "tx_vga_db": 10,
+    "rx_lna_db": 24,
+    "rx_vga_db": 24,
+    "rf_amplifier": false,
+    "bias_tee": false,
+    "geometry": {
+      "frequency_hz": 1400000000,
+      "physical_path": "MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+      "path_confirmed": true,
+      "tx_antenna": "existing 1400 MHz antenna near window",
+      "rx_antenna": "existing 1400 MHz antenna on desk",
+      "distance_m": 1.2,
+      "orientation": "same polarization; fixed during preflight and RF session",
+      "visibility": "LOS indoor"
+    },
+    "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN",
+    "levels_db_relative_nominal": [
+      -18.0,
+      -12.0,
+      -6.0,
+      0.0
+    ]
+  },
+  "segments": [
+    {
+      "label": "L0",
+      "level_db": -18.0,
+      "start_sample": 800000,
+      "samples": 800000,
+      "duration_seconds": 0.1,
+      "analysis_start_sample": 808400,
+      "analysis_samples": 783200,
+      "metrics": {
+        "samples": 800000,
+        "mean_i": -9.625e-05,
+        "mean_q": 2.75e-05,
+        "power_code2": 30.87065625,
+        "ac_power_code2": 30.870656239979688,
+        "rms_code": 5.556136809870686,
+        "peak_magnitude_code": 9.219544457292887,
+        "max_abs_i": 9.0,
+        "max_abs_q": 9.0,
+        "papr_db": 4.398730638796093,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0015435328125,
+        "requested_relative_power_db": -18.0,
+        "tx_rms_code": 5.556136809870686,
+        "tx_peak_abs_i_code": 9.0,
+        "tx_peak_abs_q_code": 9.0,
+        "tx_peak_magnitude_code": 9.219544457292887,
+        "digital_clipping": false,
+        "actual_relative_power_db": -17.97368512020099
+      }
+    },
+    {
+      "label": "L1",
+      "level_db": -12.0,
+      "start_sample": 2000000,
+      "samples": 800000,
+      "duration_seconds": 0.1,
+      "analysis_start_sample": 2008400,
+      "analysis_samples": 783200,
+      "metrics": {
+        "samples": 800000,
+        "mean_i": -5e-05,
+        "mean_q": 5e-05,
+        "power_code2": 122.2567675,
+        "ac_power_code2": 122.25676749499999,
+        "rms_code": 11.056978226441435,
+        "peak_magnitude_code": 17.804493814764857,
+        "max_abs_i": 17.0,
+        "max_abs_q": 17.0,
+        "papr_db": 4.1378635346865025,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.006112838375,
+        "requested_relative_power_db": -12.0,
+        "tx_rms_code": 11.056978226441435,
+        "tx_peak_abs_i_code": 17.0,
+        "tx_peak_abs_q_code": 17.0,
+        "tx_peak_magnitude_code": 17.804493814764857,
+        "digital_clipping": false,
+        "actual_relative_power_db": -11.99641465105681
+      },
+      "tx_input_difference_from_previous_db": 5.9772704691441785
+    },
+    {
+      "label": "L2",
+      "level_db": -6.0,
+      "start_sample": 3200000,
+      "samples": 800000,
+      "duration_seconds": 0.1,
+      "analysis_start_sample": 3208400,
+      "analysis_samples": 783200,
+      "metrics": {
+        "samples": 800000,
+        "mean_i": 5.625e-05,
+        "mean_q": 2.625e-05,
+        "power_code2": 486.5064875,
+        "ac_power_code2": 486.50648749614686,
+        "rms_code": 22.05689206347984,
+        "peak_magnitude_code": 35.12833614050059,
+        "max_abs_i": 34.0,
+        "max_abs_q": 35.0,
+        "papr_db": 4.0422652379446395,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.024325324375,
+        "requested_relative_power_db": -6.0,
+        "tx_rms_code": 22.05689206347984,
+        "tx_peak_abs_i_code": 34.0,
+        "tx_peak_abs_q_code": 35.0,
+        "tx_peak_magnitude_code": 35.12833614050059,
+        "digital_clipping": false,
+        "actual_relative_power_db": -5.998257379520232
+      },
+      "tx_input_difference_from_previous_db": 5.998157271536577
+    },
+    {
+      "label": "L3",
+      "level_db": 0.0,
+      "start_sample": 4400000,
+      "samples": 800000,
+      "duration_seconds": 0.1,
+      "analysis_start_sample": 4408400,
+      "analysis_samples": 783200,
+      "metrics": {
+        "samples": 800000,
+        "mean_i": 8.25e-05,
+        "mean_q": 0.00011125,
+        "power_code2": 1936.04021375,
+        "ac_power_code2": 1936.0402137308172,
+        "rms_code": 44.00045697205883,
+        "peak_magnitude_code": 69.6419413859206,
+        "max_abs_i": 69.0,
+        "max_abs_q": 69.0,
+        "papr_db": 3.9882736474748155,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0968020106875,
+        "requested_relative_power_db": 0.0,
+        "tx_rms_code": 44.00045697205883,
+        "tx_peak_abs_i_code": 69.0,
+        "tx_peak_abs_q_code": 69.0,
+        "tx_peak_magnitude_code": 69.6419413859206,
+        "digital_clipping": false,
+        "actual_relative_power_db": 0.0
+      },
+      "tx_input_difference_from_previous_db": 5.998257379520232
+    }
+  ],
+  "leading_zero_samples": 800000,
+  "gap_samples": 400000,
+  "trailing_zero_samples": 800000,
+  "tx_samples": 6000000,
+  "tx_bytes": 12000000,
+  "tx_duration_seconds": 0.75,
+  "tx_sha256": "fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9",
+  "rx_samples": 16000000,
+  "rx_duration_seconds": 2.0,
+  "rx_lead_seconds": 0.5,
+  "automatic_retry": false,
+  "tx_command_prepared_not_run": [
+    "C:\\Users\\user\\Tools\\HackRF\\Library\\bin\\hackrf_transfer.exe",
+    "-d",
+    "000000000000000097c063dc323b97d3",
+    "-t",
+    "C:\\Users\\user\\Desktop\\projects\\SDR_Rover\\data\\raw\\lab064\\tx_level_staircase.cs8",
+    "-f",
+    "1400000000",
+    "-s",
+    "8000000",
+    "-n",
+    "6000000",
+    "-x",
+    "10",
+    "-a",
+    "0",
+    "-p",
+    "0",
+    "-B"
+  ],
+  "rx_command_prepared_not_run": [
+    "C:\\Users\\user\\Tools\\HackRF\\Library\\bin\\hackrf_transfer.exe",
+    "-d",
+    "000000000000000097c063dc2e5327d3",
+    "-r",
+    "C:\\Users\\user\\Desktop\\projects\\SDR_Rover\\data\\raw\\lab064\\rx_stream.cs8",
+    "-f",
+    "1400000000",
+    "-s",
+    "8000000",
+    "-n",
+    "16000000",
+    "-l",
+    "24",
+    "-g",
+    "24",
+    "-a",
+    "0",
+    "-p",
+    "0",
+    "-B"
+  ]
+}

data/processed/lab064/rf_result.json

@@ -0,0 +1,425 @@
+{
+  "lab": "Lab064",
+  "stage": "OFFLINE_RF_LEVEL_LINEARITY_ANALYSIS",
+  "packet_receiver_used": false,
+  "location": {
+    "start_sample": 4123520,
+    "correlation": 0.0888256100450642,
+    "coarse_cfo_hz": 0.0,
+    "stride": 32
+  },
+  "rows": [
+    {
+      "label": "L0",
+      "level_db": -18.0,
+      "rx_start_sample": 4923521,
+      "alignment_adjustment_samples": 1,
+      "full_iq": {
+        "samples": 800000,
+        "mean_i": 0.94972375,
+        "mean_q": 1.8355175,
+        "power_code2": 5.18564125,
+        "ac_power_code2": 0.9145415558796861,
+        "rms_code": 2.2772003095907043,
+        "peak_magnitude_code": 7.0710678118654755,
+        "max_abs_i": 6.0,
+        "max_abs_q": 7.0,
+        "papr_db": 9.841675359702911,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.00025928206249999997,
+        "ac_rms_code": 0.9563166608815754
+      },
+      "background_label": "INITIAL_GUARD",
+      "background": {
+        "samples": 160000,
+        "mean_i": 0.940225,
+        "mean_q": 1.8409875,
+        "power_code2": 4.7947875,
+        "ac_power_code2": 0.5215294742187488,
+        "rms_code": 2.189700321961889,
+        "peak_magnitude_code": 4.242640687119285,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 5.7450314065030845,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.000239739375,
+        "ac_rms_code": 0.7221699759881665
+      },
+      "background_window_start_sample": 4443520,
+      "matched_signal_power": 0.0007507510158784873,
+      "matched_signal_amplitude_rms": 0.027399836055686307,
+      "residual_power": 1.2137948040249413,
+      "residual_to_matched_amplitude_ratio": 40.209129659782626,
+      "matched_to_residual_db": -32.08649345507262,
+      "complex_gain_h": {
+        "real": 0.0018760642981310563,
+        "imag": -0.0045080629571906915,
+        "phase_rad_at_active_start": -1.1764391150184978
+      },
+      "gain_abs": 0.00488285253481168,
+      "gain_power_abs_h_squared": 2.384224887671685e-05,
+      "cfo_hz": 0.0957717781274782,
+      "residual_spectrum": {
+        "residual_band_h1_power_code2": 0.0029441230361582733,
+        "residual_band_h2_power_code2": 0.002517548539085255,
+        "residual_band_h3_power_code2": 0.0017878979213816356,
+        "interpretation": "Diagnostic residual bands at 50/100/150 kHz; not calibrated RF harmonic power"
+      }
+    },
+    {
+      "label": "L1",
+      "level_db": -12.0,
+      "rx_start_sample": 6123541,
+      "alignment_adjustment_samples": 21,
+      "full_iq": {
+        "samples": 800000,
+        "mean_i": 0.9560375,
+        "mean_q": 1.8325725,
+        "power_code2": 5.2504775,
+        "ac_power_code2": 0.9781478308375009,
+        "rms_code": 2.2913920441513276,
+        "peak_magnitude_code": 7.211102550927978,
+        "max_abs_i": 6.0,
+        "max_abs_q": 7.0,
+        "papr_db": 9.958045419078847,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.000262523875,
+        "ac_rms_code": 0.9890135645366553
+      },
+      "background_label": "GAP_L0_L1",
+      "background": {
+        "samples": 160000,
+        "mean_i": 0.95144375,
+        "mean_q": 1.8329875,
+        "power_code2": 4.78826875,
+        "ac_power_code2": 0.5231803654296865,
+        "rms_code": 2.1882113129220406,
+        "peak_magnitude_code": 4.242640687119285,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 5.7509398714368505,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.00023941343750000002,
+        "ac_rms_code": 0.7233120802459243
+      },
+      "background_window_start_sample": 5883520,
+      "matched_signal_power": 0.0029612351609719875,
+      "matched_signal_amplitude_rms": 0.054417232206094304,
+      "residual_power": 1.0695946032022712,
+      "residual_to_matched_amplitude_ratio": 19.005231005856622,
+      "matched_to_residual_db": -25.577463055166668,
+      "complex_gain_h": {
+        "real": 0.004471119012843702,
+        "imag": -0.001937685853593986,
+        "phase_rad_at_active_start": -0.40894566669212534
+      },
+      "gain_abs": 0.0048729387123409105,
+      "gain_power_abs_h_squared": 2.374553169423069e-05,
+      "cfo_hz": -0.16857111258676097,
+      "residual_spectrum": {
+        "residual_band_h1_power_code2": 0.0037442904303572424,
+        "residual_band_h2_power_code2": 0.0029946268848091966,
+        "residual_band_h3_power_code2": 0.0022268690579244723,
+        "interpretation": "Diagnostic residual bands at 50/100/150 kHz; not calibrated RF harmonic power"
+      }
+    },
+    {
+      "label": "L2",
+      "level_db": -6.0,
+      "rx_start_sample": 7323533,
+      "alignment_adjustment_samples": 13,
+      "full_iq": {
+        "samples": 800000,
+        "mean_i": 0.9631825,
+        "mean_q": 1.84173875,
+        "power_code2": 5.17589875,
+        "ac_power_code2": 0.856176598442187,
+        "rms_code": 2.275060164039624,
+        "peak_magnitude_code": 7.280109889280518,
+        "max_abs_i": 6.0,
+        "max_abs_q": 7.0,
+        "papr_db": 10.102900974475599,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0002587949375,
+        "ac_rms_code": 0.925298113281437
+      },
+      "background_label": "GAP_L1_L2",
+      "background": {
+        "samples": 160000,
+        "mean_i": 0.9560375,
+        "mean_q": 1.8575625,
+        "power_code2": 4.88045,
+        "ac_power_code2": 0.5159038571874985,
+        "rms_code": 2.209174053803819,
+        "peak_magnitude_code": 4.242640687119285,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 5.668126373000443,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0002440225,
+        "ac_rms_code": 0.7182644757939087
+      },
+      "background_window_start_sample": 7083520,
+      "matched_signal_power": 0.011333436190702588,
+      "matched_signal_amplitude_rms": 0.10645861257175292,
+      "residual_power": 0.5290886880136152,
+      "residual_to_matched_amplitude_ratio": 6.832559719073439,
+      "matched_to_residual_db": -16.691668725481204,
+      "complex_gain_h": {
+        "real": 0.0032772531007889995,
+        "imag": -0.003478187284280655,
+        "phase_rad_at_active_start": -0.8151334504253348
+      },
+      "gain_abs": 0.00477893028523777,
+      "gain_power_abs_h_squared": 2.283817467116275e-05,
+      "cfo_hz": 0.006742170898886185,
+      "residual_spectrum": {
+        "residual_band_h1_power_code2": 0.004466260208758569,
+        "residual_band_h2_power_code2": 0.0030543665029441423,
+        "residual_band_h3_power_code2": 0.0020345488796523733,
+        "interpretation": "Diagnostic residual bands at 50/100/150 kHz; not calibrated RF harmonic power"
+      }
+    },
+    {
+      "label": "L3",
+      "level_db": 0.0,
+      "rx_start_sample": 8523534,
+      "alignment_adjustment_samples": 14,
+      "full_iq": {
+        "samples": 800000,
+        "mean_i": 0.9575575,
+        "mean_q": 1.8561875,
+        "power_code2": 5.48103,
+        "ac_power_code2": 1.1186815990375,
+        "rms_code": 2.3411599689043037,
+        "peak_magnitude_code": 7.280109889280518,
+        "max_abs_i": 6.0,
+        "max_abs_q": 7.0,
+        "papr_db": 9.85413690444334,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0002740515,
+        "ac_rms_code": 1.0576774551050523
+      },
+      "background_label": "GAP_L2_L3",
+      "background": {
+        "samples": 160000,
+        "mean_i": 0.97165,
+        "mean_q": 1.8424125,
+        "power_code2": 4.8607875,
+        "ac_power_code2": 0.5221999573437506,
+        "rms_code": 2.204719369897221,
+        "peak_magnitude_code": 4.47213595499958,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 6.14323360311441,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.00024303937499999998,
+        "ac_rms_code": 0.7226340410911671
+      },
+      "background_window_start_sample": 8283520,
+      "matched_signal_power": 0.0453318643989967,
+      "matched_signal_amplitude_rms": 0.21291280938214285,
+      "residual_power": 0.740861773845582,
+      "residual_to_matched_amplitude_ratio": 4.042656143280289,
+      "matched_to_residual_db": -12.133336061267785,
+      "complex_gain_h": {
+        "real": 0.003384387504328541,
+        "imag": -0.003391322182689881,
+        "phase_rad_at_active_start": -0.7864216245934512
+      },
+      "gain_abs": 0.004791152776343041,
+      "gain_power_abs_h_squared": 2.295514492625963e-05,
+      "cfo_hz": -0.07606695286129402,
+      "residual_spectrum": {
+        "residual_band_h1_power_code2": 0.009576142863317505,
+        "residual_band_h2_power_code2": 0.004468597337512337,
+        "residual_band_h3_power_code2": 0.002725169628283891,
+        "interpretation": "Diagnostic residual bands at 50/100/150 kHz; not calibrated RF harmonic power"
+      }
+    }
+  ],
+  "background_windows": [
+    {
+      "label": "INITIAL_GUARD",
+      "tx_relative_start_sample": 320000,
+      "samples": 160000,
+      "duration_seconds": 0.02,
+      "rx_start_sample": 4443520,
+      "metrics": {
+        "samples": 160000,
+        "mean_i": 0.940225,
+        "mean_q": 1.8409875,
+        "power_code2": 4.7947875,
+        "ac_power_code2": 0.5215294742187488,
+        "rms_code": 2.189700321961889,
+        "peak_magnitude_code": 4.242640687119285,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 5.7450314065030845,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.000239739375,
+        "ac_rms_code": 0.7221699759881665
+      }
+    },
+    {
+      "label": "GAP_L0_L1",
+      "tx_relative_start_sample": 1760000,
+      "samples": 160000,
+      "duration_seconds": 0.02,
+      "rx_start_sample": 5883520,
+      "metrics": {
+        "samples": 160000,
+        "mean_i": 0.95144375,
+        "mean_q": 1.8329875,
+        "power_code2": 4.78826875,
+        "ac_power_code2": 0.5231803654296865,
+        "rms_code": 2.1882113129220406,
+        "peak_magnitude_code": 4.242640687119285,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 5.7509398714368505,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.00023941343750000002,
+        "ac_rms_code": 0.7233120802459243
+      }
+    },
+    {
+      "label": "GAP_L1_L2",
+      "tx_relative_start_sample": 2960000,
+      "samples": 160000,
+      "duration_seconds": 0.02,
+      "rx_start_sample": 7083520,
+      "metrics": {
+        "samples": 160000,
+        "mean_i": 0.9560375,
+        "mean_q": 1.8575625,
+        "power_code2": 4.88045,
+        "ac_power_code2": 0.5159038571874985,
+        "rms_code": 2.209174053803819,
+        "peak_magnitude_code": 4.242640687119285,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 5.668126373000443,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0002440225,
+        "ac_rms_code": 0.7182644757939087
+      }
+    },
+    {
+      "label": "GAP_L2_L3",
+      "tx_relative_start_sample": 4160000,
+      "samples": 160000,
+      "duration_seconds": 0.02,
+      "rx_start_sample": 8283520,
+      "metrics": {
+        "samples": 160000,
+        "mean_i": 0.97165,
+        "mean_q": 1.8424125,
+        "power_code2": 4.8607875,
+        "ac_power_code2": 0.5221999573437506,
+        "rms_code": 2.204719369897221,
+        "peak_magnitude_code": 4.47213595499958,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 6.14323360311441,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.00024303937499999998,
+        "ac_rms_code": 0.7226340410911671
+      }
+    },
+    {
+      "label": "FINAL_GUARD",
+      "tx_relative_start_sample": 5440000,
+      "samples": 160000,
+      "duration_seconds": 0.02,
+      "rx_start_sample": 9563520,
+      "metrics": {
+        "samples": 160000,
+        "mean_i": 0.958375,
+        "mean_q": 1.83606875,
+        "power_code2": 4.81993125,
+        "ac_power_code2": 0.5303001546484385,
+        "rms_code": 2.195434182570728,
+        "peak_magnitude_code": 4.47213595499958,
+        "max_abs_i": 3.0,
+        "max_abs_q": 4.0,
+        "papr_db": 6.179891520223454,
+        "clipped_components_fraction": 0.0,
+        "clipped_samples_fraction": 0.0,
+        "symbol_energy_code2_seconds": 0.0002409965625,
+        "ac_rms_code": 0.7282171068084288
+      }
+    }
+  ],
+  "background_summary": {
+    "ac_power_min_code2": 0.5159038571874985,
+    "ac_power_max_code2": 0.5303001546484385,
+    "ac_rms_min_code": 0.7182644757939087,
+    "ac_rms_max_code": 0.7282171068084288,
+    "maximum_to_minimum_ac_power_db": 0.11952978854087751,
+    "stability_rule_db": 3.0,
+    "stable": true
+  },
+  "comparisons": [
+    {
+      "comparison": "L1/L0",
+      "tx_input_difference_db": 5.9772704691441785,
+      "rx_matched_power_difference_db": 5.959769689089129,
+      "linearity_error_db": -0.01750078005504907,
+      "tx_amplitude_ratio": 1.9900478704552953,
+      "rx_matched_amplitude_ratio": 1.9860422557090833
+    },
+    {
+      "comparison": "L2/L1",
+      "tx_input_difference_db": 5.998157271536577,
+      "rx_matched_power_difference_db": 5.828887063637578,
+      "linearity_error_db": -0.16927020789899938,
+      "tx_amplitude_ratio": 1.9948390610676463,
+      "rx_matched_amplitude_ratio": 1.9563400830193338
+    },
+    {
+      "comparison": "L3/L2",
+      "tx_input_difference_db": 5.998257379520232,
+      "rx_matched_power_difference_db": 6.020419771848732,
+      "linearity_error_db": 0.022162392328500147,
+      "tx_amplitude_ratio": 1.9948620524335567,
+      "rx_matched_amplitude_ratio": 1.9999585213327857
+    }
+  ],
+  "total_comparison": {
+    "comparison": "L3/L0",
+    "tx_digital_power_difference_db": 17.97368512020099,
+    "rx_matched_power_difference_db": 17.80907652457544,
+    "total_linearity_error_db": -0.16460859562555186,
+    "tx_amplitude_ratio": 7.9192536969014835,
+    "rx_matched_amplitude_ratio": 7.770586982689514
+  },
+  "classification": {
+    "case": "LINEAR_BUT_WEAK",
+    "rules_fixed_before_rf": {
+      "linear_max_abs_error_db": 1.0,
+      "compression_upper_step_error_at_most_db": -1.5,
+      "weak_l3_matched_to_residual_below_db": 3.0,
+      "healthy_l3_matched_to_residual_at_least_db": 6.0
+    }
+  },
+  "capture_valid": true,
+  "capture_invalid_reasons": [],
+  "tx_underruns_maximum": 0,
+  "tx_underruns_final": 0,
+  "rx_overruns_maximum": 0,
+  "rx_overruns_final": 0,
+  "rx_clipping": false
+}

data/processed/lab064/software_gate.json

@@ -0,0 +1,39 @@
+{
+  "lab": "Lab064",
+  "stage": "SOFTWARE_LINEARITY_GATE",
+  "rf_tx_count": 0,
+  "channel_model": "known linear complex gain plus DC and deterministic Gaussian noise",
+  "rows": [
+    {
+      "label": "L0",
+      "matched_signal_power": 4.310961695783257,
+      "residual_power": 0.0018007645625517528,
+      "gain_abs": 0.37000937351312335
+    },
+    {
+      "label": "L1",
+      "matched_signal_power": 17.072568748673206,
+      "residual_power": 0.0017975392617719525,
+      "gain_abs": 0.3700018841553234
+    },
+    {
+      "label": "L2",
+      "matched_signal_power": 67.93699349861977,
+      "residual_power": 0.0017977879292746589,
+      "gain_abs": 0.37000113388875977
+    },
+    {
+      "label": "L3",
+      "matched_signal_power": 270.35275600931345,
+      "residual_power": 0.001803678589230678,
+      "gain_abs": 0.3700016234349186
+    }
+  ],
+  "linearity_errors_db": [
+    -2.3407130973929213e-05,
+    -8.27380804224731e-05,
+    -1.2603446491787906e-05
+  ],
+  "passed": true,
+  "tx_sha256": "fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9"
+}

docs/LABS_INDEX.md

@@ -570,3 +570,96 @@
   [synthetic CSV](../data/processed/lab061/synthetic_packet_results.csv).
 - **STOP:** Lab061 фиксируется этим отдельным коммитом; push выполняется
   пользователем отдельно, Lab062 не создана.
+
+## Lab062 — полный 500K PHY-пакет, подготовка и RX-only preflight
+
+- **Запись 056; RF TX=0.** Подготовлены16 пакетов по256 байт payload,
+  0,184512с. Legacy/T2 дали16/16 строгих HEADER/FEC/CRC и точных payload.
+- **Геометрия:**1400МГц, примерно1,2м, LOS в помещении; TX возле окна, RX на
+  столе, одинаковая поляризация, антенны и кабели неподвижны.
+- **Аппаратный preflight PASS:** MASTER/SLAVE reg29=0x26, SLAVE CLKIN=DETECTED
+  через133,5795мс. RX-only:800000 отсчётов, RMS2,314058, AC RMS0,985483,
+  max|I|/|Q|=6/8, clipping0, overruns0, сильного фона нет.
+- **Проверки:** quick gate962/35/13 PASS, pytest962 passed. Усиления10/24/24дБ
+  сохранены; аналоговая компрессия без прибора остаётся неизвестной.
+- [План](lab062_current_state.md), [отчёт](lab062_rx_preflight.md),
+  [software](../data/processed/lab062/software_gate.json),
+  [preflight](../data/processed/lab062/preflight_result.json).
+- **STOP:** технически готово к одному TX, но отдельного разрешения ещё нет.
+  Lab062 не коммитировалась, push не выполнялся, Lab063 не создана.
+- **Единственный RF-сеанс:** выполнен один TX без повторов. RX сохранён полностью: 24 000 000
+  комплексных отсчётов, 3,000 с, overruns 0, clipping 0. В TX-журнале зарегистрирован
+  промежуточный `1 underruns, longest 16672 bytes`, поэтому сеанс признан невалидным для чистого
+  A/B-сравнения. Legacy/T2 дали одинаковый пакетный итог 0/16, T2 gain 0.
+- [RF-отчёт](lab062_rf_result.md),
+  [JSON](../data/processed/lab062/rf_analysis.json),
+  [покадровый CSV](../data/processed/lab062/packet_comparison.csv).
+- **Текущее состояние:** `RF TX=0`; повтор не выполнялся, Lab062 не закоммичена, push не
+  выполнялся, Lab063 не создана. Следующий шаг требует отдельного согласования.
+
+## Lab063: офлайн-локализация TX underrun и ухудшения Lab062
+
+- **Запись 058; только сохранённые TX/RX, RF TX=0.** Lab062 перед анализом зафиксирована
+  коммитом `f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5`; её статус
+  `RF_SESSION_INVALID_TX_UNDERRUN` сохранён.
+- **Фактические паузы:** 92 256 × 16 = 1 476 096 отсчётов, поэтому дополнительных пауз между
+  полными packet waveform нет. Причина: ошибка реализации `prepare()`, пакеты записаны подряд
+  без параметра паузы и без вставки нулей.
+- **Масштаб журнала:** 16 672 байта cs8 = 8 336 комплексных отсчётов = 1,042 мс = 521 символ =
+  9,035727% одного waveform. RX не подтверждает потерю или повтор именно такого числа отсчётов.
+- **Локальное сопоставление:** 221 надёжное окно из 359, задержка 0…1 отсчёт, скачков нет.
+  Ещё 22 внутренних окна пакетов3,4,12,13 имеют корреляцию ниже0,15; задержка там не
+  установлена. `UNDERRUN LOCATION=NOT_LOCALIZED_FROM_RX`. Повторяющаяся преамбула с
+  корреляционными копиями и низкокорреляционные окна исключены из решения о разрыве.
+- **Качество:** все 16 пакетов хуже Lab056 B по SER, EVM и matched/residual. Пакеты 3,4,12,13
+  имеют дополнительные всплески AC-мощности и остатка при почти постоянном локальном |h|;
+  пакет14 общего признака с ними не показывает. Итог: `GLOBAL_RF_DEGRADATION`, причина
+  `PARTIALLY_LOCALIZED`.
+- **RX-уровень:** AC RMS0,760816…2,032438 кода, max|I|=3…6, max|Q|=4…7. Сильная аналоговая
+  перегрузка менее вероятна, но без прибора не исключена. Значение расхождения счётчиков
+  `hackrf_transfer` локально не установлено: `COUNTER SEMANTICS=NOT_ESTABLISHED`.
+- [Текущее состояние](lab063_current_state.md), [отчёт](lab063_offline_result.md),
+  [JSON](../data/processed/lab063/summary.json),
+  [пакеты CSV](../data/processed/lab063/packet_quality.csv),
+  [локальное сопоставление CSV](../data/processed/lab063/local_alignment.csv).
+- **STOP:** Lab063 не коммитировалась, push не выполнялся, Lab064 не создана. Следующий шаг
+  требует отдельного согласования; RF TX=0.
+
+## Lab064: измерение уровня и линейности RF-тракта
+
+- **Запись 059; подготовка и RX-only, RF TX=0.** Создан один 0,75-секундный
+  PRBS7/BPSK/RRC waveform с четырьмя 100-мс участками −18/−12/−6/0 дБ,
+  промежутками по 50 мс и нулями по 100 мс в начале и конце.
+- **Цифровые уровни:** RMS 5,556137/11,056978/22,056892/44,000457 кода; шаги
+  +5,977270/+5,998157/+5,998257 дБ; max |I|/|Q| не выше 69/69, clipping0.
+- **Методика:** пакетный приёмник, FEC, CRC, T2 и JPEG не используются. Главная
+  величина — мощность согласованной с известным TX составляющей. Анализатор
+  выдаёт `INVALID_CAPTURE` без A/B/C при любом промежуточном underrun, overrun
+  или clipping.
+- **Аппаратный preflight PASS:** MASTER/SLAVE reg29=0x26, SLAVE CLKIN=DETECTED
+  при первом опросе через66,793мс. RX-only:800000 отсчётов, полный RMS2,193193,
+  AC RMS0,832038, max|I|/|Q|=4/5, clipping0, overruns0, сильного фона нет.
+- **Проверки:** quick gate984/37/13 PASS, pytest984 passed, целевые13 passed,
+  независимая read-only проверка чистая.
+- [Текущее состояние](lab064_current_state.md), [отчёт](lab064_rx_preflight.md),
+  [подготовка](../data/processed/lab064/preparation.json),
+  [software gate](../data/processed/lab064/software_gate.json),
+  [preflight](../data/processed/lab064/preflight_result.json).
+- **STOP:** технически готово к одному TX, но отдельного разрешения ещё нет.
+  Lab064 не коммитируется, push не выполняется, Lab065 не начинается.
+- **Единственный RF-сеанс:** один TX, повторов0, underruns0, overruns0,
+  clipping0; RX16000000 отсчётов за2,0с. Фон стабилен: AC RMS
+  0,718264…0,728217 кода, разброс0,119530дБ.
+- **Линейность:** L0→L1/L1→L2/L2→L3 дали ошибки
+  −0,017501/−0,169270/+0,022162дБ. Полный рост TX/RX равен
+  17,973685/17,809077дБ, общая ошибка −0,164609дБ. Признака компрессии нет.
+- **Итог `LINEAR_BUT_WEAK`:** L3 matched/residual равен −12,133336дБ. Тракт
+  следует цифровым ступеням, но согласованная полезная составляющая остаётся
+  слабее остатка. [RF-отчёт](lab064_rf_result.md),
+  [RF JSON](../data/processed/lab064/rf_result.json),
+  [capture JSON](../data/processed/lab064/capture_result.json).
+- **Текущее состояние:** `RF TX=0`, процессы CLEAR; второй TX не выполнялся,
+  Lab064 не коммитировалась, push не выполнялся, Lab065 не создана.
+- **Независимая проверка:** прямой пересчёт из TX/RX CS8 подтвердил все SHA,
+  счётчики, фоны, matched/residual/`h`, ступени и спектральные полосы;
+  расхождений нет. Quick gate и pytest после RF:986 passed,0 failed.

docs/lab062_current_state.md

@@ -0,0 +1,48 @@
+# Lab062 — полный пакет 500K, подготовка к одному RF-сеансу
+
+Lab062 проверяет T2 на полном штатном PHY-пакете в одном будущем коротком
+эфирном сеансе. На текущем этапе разрешены подготовка, программный шлюз,
+аппаратная проверка общей опоры и RX-only запись фона. Передача запрещена до
+отдельного разрешения пользователя.
+
+## Неподвижная физическая схема
+
+| Условие | Фактическое значение |
+|---|---|
+| Частота | 1400000000 Гц, только для Lab062 |
+| Расстояние TX–RX | примерно 1,2 м |
+| Геометрия | прямая видимость, помещение |
+| TX | плата и антенна возле окна |
+| RX | плата и антенна на столе пользователя |
+| Антенны | имеющиеся антенны на 1400 МГц, неподвижны |
+| Поляризация | одинаковая |
+| Тактирование | 10 МГц TCXO → MASTER → MASTER CLKOUT → SLAVE CLKIN |
+
+Длинный кабель общей опоры, USB-подключение, антенны и остальные кабели не
+перемещаются. Пользователь по возможности не проходит между антеннами. Во время
+будущего сеанса не меняются частота, усиления, ориентация и PHY.
+
+## Параметры
+
+- 16 полных пакетов, payload каждого — 256 байт;
+- BPSK, 500000 символов/с, Fs 8000000 выборок/с, 16 выборок/символ;
+- центральная частота 1400 МГц, цифровая несущая +50 кГц;
+- TX VGA 10 дБ, RX LNA/VGA 24/24 дБ;
+- RF amplifier и Bias-Tee выключены;
+- один конечный TX-waveform и одна будущая RX-запись;
+- режим приёмника задаётся заранее: `legacy` или `t2`, без CRC-fallback.
+
+RX-only preflight не меняет усиления. Он проверяет rail-коды, overruns,
+максимальные |I|/|Q|, полный и AC RMS, сильный фон и ошибки аппаратных команд.
+Эвристический STOP для неожиданно сильного цифрового фона: AC RMS не менее 20
+кодов или максимум |I|/|Q| не менее 100 кодов. Отсутствие цифрового клиппинга
+не доказывает отсутствие аналоговой компрессии.
+
+Обязательная аппаратная точка: MASTER reg29=0x26, SLAVE reg29=0x26 и SLAVE
+CLKIN=DETECTED. Любой отказ означает `RF TX = 0` и STOP.
+
+Lab062 не коммитируется. Push не выполняется. Lab063 не создаётся автоматически.
+
+## Фактический RF-результат
+
+14 сентября 2026 года выполнен ровно один разрешённый TX-сеанс. Полная RX-запись сохранена, но в промежуточной строке `hackrf_transfer` зарегистрирован `1 underruns, longest 16672 bytes`. Повтор не выполнялся. Строгие `legacy` и `t2` на одной записи дали 0/16 CRC и пакетов; T2 gain равен 0. Подробности и покадровая таблица приведены в [отчёте](lab062_rf_result.md). Текущий статус: `RF TX = 0`, Lab062 не закоммичена, push не выполнялся, Lab063 не создана.

docs/lab062_rf_result.md

@@ -0,0 +1,108 @@
+# Lab062 — результат единственного RF-сеанса
+
+Передача была запущена один раз. Приёмник сохранил полную трёхсекундную IQ-запись без переполнений и цифрового клиппинга. Однако `hackrf_transfer` во время передачи сообщил об одном кратком underrun: буфер передатчика один раз опустел на интервал до 16 672 байт. В итоговой строке утилита напечатала ноль underrun, но промежуточную ненулевую строку игнорировать нельзя. Поэтому этот сеанс нельзя считать чистым сравнением `legacy` и `t2`.
+
+Оба строгих варианта приёмника обработали одну и ту же запись и выдали 0 из 16 пакетов. T2 не дал выигрыша в пакетах. Установлено, что передача состоялась, общий тактовый сигнал перед ней был исправен, RX-файл полный, а строгий результат равен 0/16 в обоих режимах. Нельзя установить, каким был бы результат без underrun, и нельзя приписывать все ошибки самому T2 или эфирному каналу. Аналоговая компрессия также остаётся неизвестной без измерительного прибора.
+
+## Условия
+
+| Параметр | Значение |
+|---|---:|
+| RF | 1 400 000 000 Гц |
+| Символьная скорость | 500 000 символов/с |
+| Частота дискретизации | 8 000 000 комплексных отсчётов/с |
+| Цифровая несущая | +50 000 Гц |
+| Пакеты | 16 полных PHY-пакетов по 256 байт payload |
+| TX | 1 476 096 отсчётов, 0,184512 с, VGA 10 дБ |
+| RX | LNA/VGA 24/24 дБ, 3 с |
+| RF amplifier / Bias-Tee | OFF / OFF |
+| Геометрия | около 1,2 м, LOS, помещение; TX возле окна, RX на столе |
+| Антенны | имеющиеся антенны на 1400 МГц, одинаковая поляризация, неподвижны |
+| Опора | 10 МГц TCXO → MASTER → MASTER CLKOUT → SLAVE CLKIN |
+
+SHA-256 передаваемого файла: `e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5`.
+
+## Аппаратный результат
+
+- перед TX повторно получены `MASTER reg29 = 0x26`, `SLAVE reg29 = 0x26`, `SLAVE CLKIN = DETECTED`;
+- выполнен один TX-сеанс, автоматических повторов нет;
+- RX: 24 000 000 комплексных отсчётов, 48 000 000 байт, 3,000 с;
+- SHA-256 RX: `ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32`;
+- RX overruns: 0 во всех пяти строках журнала;
+- RX clipping: 0;
+- TX underruns: промежуточный максимум 1, `longest 16672 bytes`; финальная строка — 0;
+- cleanup: оба CLKOUT выключены без зарегистрированных ошибок, SDR-процессы после сеанса — `CLEAR`;
+- текущее состояние: `RF TX = 0`.
+
+Из-за ненулевой промежуточной строки underrun статус сеанса: `INVALID_TX_UNDERRUN`. Полученные файлы сохранены, повтор не выполнялся.
+
+## Строгое декодирование одной записи
+
+| Стадия | legacy | T2 |
+|---|---:|---:|
+| CANDIDATES | 144 | 144 |
+| TRUE PACKETS FOUND | 0 | 0 |
+| HEADER ACCEPTED | 3 | 3 |
+| FEC STARTED | 3 | 3 |
+| FEC PASS | 3 | 3 |
+| CRC STARTED | 3 | 3 |
+| CRC PASS | 0 | 0 |
+| PACKET OUTPUT | 0 | 0 |
+| EXACT PAYLOAD MATCH | 0 | 0 |
+
+Детектор в обоих запусках получил 209 956 первичных кандидатов, дешёвая ступень отклонила 209 812, после группировки строгий декодер проверил 144 кандидата. Переполнения очереди кандидатов не было. Никакого fallback между `legacy` и `t2` не выполнялось.
+
+- `PASSED BY BOTH = []`
+- `PASSED ONLY BY LEGACY = []`
+- `PASSED ONLY BY T2 = []`
+- `FAILED BY BOTH = [1, 2, …, 16]`
+
+## Таблица 16 фактических границ
+
+Начало потока найдено только после строгого вердикта корреляцией с первым TX-пакетом: отсчёт 4 256 091, отношение пика к медиане 21,739. Знание TX не передавалось детектору и не использовалось для повторной настройки приёмника. Во всех строках `H/F/C/O` означают header/FEC/CRC/output; `1` — проход, `0` — непроход. Ошибки символов и оценки частоты — диагностические, по известной границе и известным переданным символам.
+
+| № | legacy H/F/C/O | T2 H/F/C/O | Preamble errors | Header errors | Payload errors до FEC | CFO нач., Гц | T2 фин., Гц | T2 lock |
+|---:|:---:|:---:|---:|---:|---:|---:|---:|:---:|
+| 1 | 0/0/0/0 | 0/0/0/0 | 108 | 20 | 367 | -2.511 | +1.939 | не определён |
+| 2 | 0/0/0/0 | 0/0/0/0 | 135 | 11 | 377 | +16.850 | -2.223 | не определён |
+| 3 | 0/0/0/0 | 0/0/0/0 | 466 | 115 | 2229 | -266.238 | -265.796 | не определён |
+| 4 | 0/0/0/0 | 0/0/0/0 | 515 | 104 | 2266 | +297.250 | +293.800 | не определён |
+| 5 | 0/0/0/0 | 0/0/0/0 | 108 | 27 | 369 | -1.712 | -0.835 | не определён |
+| 6 | 1/1/0/0 | 1/1/0/0 | 112 | 10 | 345 | +4.676 | -3.164 | не определён |
+| 7 | 0/0/0/0 | 0/0/0/0 | 113 | 7 | 344 | +2.113 | +1.094 | не определён |
+| 8 | 0/0/0/0 | 0/0/0/0 | 91 | 19 | 368 | +0.964 | +0.354 | не определён |
+| 9 | 0/0/0/0 | 0/0/0/0 | 105 | 21 | 367 | -2.679 | +0.191 | не определён |
+| 10 | 0/0/0/0 | 0/0/0/0 | 116 | 7 | 345 | -0.290 | +0.947 | не определён |
+| 11 | 0/0/0/0 | 1/1/0/0 | 109 | 9 | 392 | +0.757 | -0.142 | не определён |
+| 12 | 0/0/0/0 | 0/0/0/0 | 297 | 110 | 2181 | -223.050 | -222.389 | не определён |
+| 13 | 0/0/0/0 | 0/0/0/0 | 304 | 36 | 524 | -0.161 | -2.081 | не определён |
+| 14 | 1/1/0/0 | 0/0/0/0 | 314 | 127 | 2091 | +228.209 | +224.928 | не определён |
+| 15 | 1/1/0/0 | 1/1/0/0 | 131 | 7 | 395 | -9.960 | +2.284 | не определён |
+| 16 | 0/0/0/0 | 0/0/0/0 | 100 | 23 | 355 | +13.157 | -0.868 | не определён |
+
+В реализации T2 нет отдельного детектора lock, поэтому поле нельзя честно заменить на `PASS` или `FAIL`. Сохранены начальное состояние частоты и конечное состояние петли.
+
+## Физическое качество по методике Lab058
+
+Функции `analyze_values` и `channel_metrics` из Lab058 применены отдельно к каждому полному пакету. Для оценки использованы диагностические границы и чередующиеся обучающие/проверочные участки с защитными краями. Это измерение сделано после строгого результата и не меняет 0/16.
+
+| Метрика | Lab062 | Lab056, 500K | Разница по смыслу |
+|---|---:|---:|---|
+| Диагностическая доля ошибочных символов | 0,099287 | 0,034959 | Lab062 хуже |
+| Нормированное RMS-отклонение, EVM | 1,220401 | 0,845350 | Lab062 хуже |
+| Matched/residual | -1,730051 дБ | +1,464846 дБ | Lab062 хуже на 3,194897 дБ |
+| Неравномерность усиления, p95–p05 | медиана 6,660341 дБ | среднее 5,471382 дБ | Lab062 больше |
+
+Для Lab062 разброс неравномерности между пакетами составил 6,236828…10,617549 дБ. Остаток включает шум, искажения канала и возможное влияние underrun; называть его чистым шумом нельзя. Отдельная диагностика именно выходных символов T2 дала SER 0,186626 и RMS 1,699461; это другой срез данных, поэтому он не подменяет приведённые выше сопоставимые метрики Lab058.
+
+## Инженерный вывод
+
+Чистое сравнение `legacy` и T2 не состоялось из-за зафиксированного TX underrun. Фактический строгий результат существующей записи — 0/16 для обоих режимов, выигрыш T2 равен нулю. В записи видны неоднородные повреждения пакетов и заметно худшее качество символов, чем у 500K-сегментов Lab056, но эти наблюдения нельзя отделить от аппаратной ошибки передачи.
+
+Следующий одиночный шаг: без RF локализовать момент underrun относительно границ пакетов и проверить, совместимы ли провалы качества с его положением. Новый RF-сеанс, Lab063, изменение PHY или усилений этим отчётом не разрешаются.
+
+`LAB062 COMMIT = NOT PERFORMED`
+
+`PUSH = NOT PERFORMED`
+
+`RF TX = 0`

docs/lab062_rx_preflight.md

@@ -0,0 +1,108 @@
+# Lab062 — подготовка и RX-only preflight
+
+14 сентября 2026 года выполнена подготовка полного 500K PHY-сеанса и одна
+аппаратная проверка при выключенном передатчике. Результат preflight — PASS.
+Передача не запускалась: `RF TX = 0`.
+
+## Условия
+
+| Параметр | Значение |
+|---|---|
+| Центральная частота | 1400000000 Гц |
+| Скорость символов | 500000 символов/с |
+| Частота дискретизации | 8000000 выборок/с |
+| Пакеты | 16 полных PHY-пакетов |
+| Payload | 256 байт в каждом пакете |
+| TX VGA | 10 дБ |
+| RX LNA / VGA | 24 / 24 дБ |
+| RF amplifier / Bias-Tee | выключены |
+| Расстояние TX–RX | примерно 1,2 м |
+| Геометрия | прямая видимость, помещение |
+| TX | плата и антенна возле окна |
+| RX | плата и антенна на столе пользователя |
+| Антенны | имеющиеся антенны на 1400 МГц, неподвижны |
+| Поляризация | одинаковая |
+| Общая опора | 10 МГц TCXO → MASTER → MASTER CLKOUT → SLAVE CLKIN |
+
+Длинный clock-кабель и USB-схема не менялись. Антенны, кабели, ориентация,
+частота, усиления и PHY должны остаться неизменными до будущего разрешённого
+сеанса.
+
+## Программная проверка
+
+Создан один waveform из 16 пакетов. Его длина — 1476096 комплексных отсчётов,
+2952192 байта и 0,184512 с. SHA-256:
+`e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5`.
+
+Строгий приёмник в заранее выбранных режимах дал:
+
+| Режим | Header | FEC | CRC | Точный payload и порядок |
+|---|---:|---:|---:|---:|
+| legacy | 16/16 | 16/16 | 16/16 | 16/16 |
+| T2 | 16/16 | 16/16 | 16/16 | 16/16 |
+
+Автоматического повторного декодирования по результату CRC нет.
+
+## Общая опора и RX-only фон
+
+Свежая инвентаризация подтвердила обе HackRF One r9 с firmware/libhackrf
+2024.02.1. Роли сохранены:
+
+- MASTER `000000000000000097c063dc323b97d3`;
+- SLAVE `000000000000000097c063dc2e5327d3`.
+
+Аппаратная проверка получила:
+
+```text
+MASTER reg29 = 0x26
+SLAVE reg29 = 0x26
+SLAVE CLKIN = DETECTED
+CLKIN query = 2
+time to detect = 133.5795 ms
+```
+
+Первый опрос SLAVE ещё показывал отсутствие опоры, второй штатный опрос её
+обнаружил. После этого SLAVE записал 800000 комплексных отсчётов, 0,1 с, при
+1400 МГц и RX LNA/VGA 24/24 дБ.
+
+| Метрика RX-only записи | Значение |
+|---|---:|
+| Полный RMS IQ | 2,314058 кода |
+| AC RMS после удаления среднего | 0,985483 кода |
+| Средние I / Q | 0,966063 / 1,857529 кода |
+| Максимум \|I\| / \|Q\| | 6 / 8 кодов |
+| Максимальная комплексная амплитуда | 8,246211 кода |
+| Цифровой clipping | 0 / 800000 отсчётов |
+| RX overruns | 0 |
+| Неожиданно сильный сигнал | нет |
+
+Сильным цифровым фоном считался бы AC RMS не менее 20 кодов или максимум
+`|I|/|Q|` не менее 100 кодов. Оба показателя значительно ниже порога.
+
+Отсутствие rail-кодов не доказывает отсутствия аналоговой компрессии при
+будущем TX. Абсолютная RF-мощность без измерительного прибора также неизвестна.
+Усиления по результату preflight не менялись.
+
+Унаследованное от Lab056 поле энергии на символ исключено из обработанной
+сводки: у фоновой записи нет символов, поэтому такая величина к ней неприменима.
+Сырой аппаратный JSON сохранён без переписывания; это поле не участвовало в
+решении PASS.
+
+SHA-256 RX-only записи:
+`4cc0ceef5a95f84e5aa0c232d14ff1123efd307494b5c8a5646854be912fdbca`.
+
+После записи оба CLKOUT выключены без ошибок. Проверка процессов до и после
+дала `CLEAR`. Вызовов `hackrf_transfer -t` не было. Эксклюзивный маркер
+preflight запрещает его автоматический повтор.
+
+Артефакты:
+
+- [подготовка](../data/processed/lab062/preparation.json);
+- [программный шлюз](../data/processed/lab062/software_gate.json);
+- [результат preflight](../data/processed/lab062/preflight_result.json);
+- исходные TX и RX-only CS8 находятся в `data/raw/lab062/` и в Git не входят.
+
+`READY FOR SINGLE LAB062 TX = YES` означает только техническую готовность.
+Отдельного разрешения на передачу ещё нет. `RF TX = 0`. STOP.
+
+Lab062 не коммитируется. Push не выполняется. Lab063 не создаётся автоматически.

docs/lab063_current_state.md

@@ -0,0 +1,78 @@
+# Lab063: текущее состояние
+
+## Статус
+
+Lab063 выполнена полностью офлайн по сохранённым файлам единственного RF-сеанса Lab062. Новых передач, запросов к HackRF и аппаратных команд не было.
+
+- `LAB063 STATUS = COMPLETED_OFFLINE`
+- `RF TX = 0`
+- `LAB063 COMMIT = NOT PERFORMED`
+- `PUSH = NOT PERFORMED`
+- `LAB064 = NOT CREATED`
+
+Lab062 перед началом анализа зафиксирована отдельным коммитом:
+
+- `LAB062 COMMIT = f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5`
+- `NEW HEAD = f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5`
+- сообщение: `Lab062: record invalidated 500 ksymbol/s RF packet trial`
+
+Статус аппаратного опыта сохранён без изменения: `RF_SESSION_INVALID_TX_UNDERRUN`. Результат `legacy = 0/16` и `T2 = 0/16` не переобъявлялся как валидное сравнение приёмников.
+
+## Исходные данные
+
+Анализ использует только сохранённые файлы Lab062:
+
+| Объект | Значение |
+|---|---|
+| TX | `data/raw/lab062/tx_stream.cs8` |
+| TX SHA-256 | `e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5` |
+| TX | 1 476 096 комплексных отсчётов |
+| RX | `data/raw/lab062/rx_stream.cs8` |
+| RX SHA-256 | `ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32` |
+| RX | 24 000 000 комплексных отсчётов |
+| Начало TX в RX | отсчёт 4 256 091 |
+| Частота дискретизации | 8 Мвыб/с |
+| Символьная скорость | 500 ксимв/с |
+| Пакетов | 16 |
+| Длина одного полного waveform | 92 256 отсчётов |
+
+Физическое устройство и ответ программного интерфейса записаны отдельно:
+
+- `PHYSICAL DEVICE = Auron HackRF Plus`
+- `API/FIRMWARE IDENTIFICATION = HackRF One r9`
+
+## Зафиксированный результат
+
+Фактический TX-файл содержит пакеты вплотную: `92 256 × 16 = 1 476 096`. Дополнительных пауз между полными waveform нет. Внутренние защитные участки и хвосты RRC каждого пакета сохранены.
+
+`INTER-PACKET GAP ACTUAL = 0 additional samples = 0 s`
+
+Причина установлена по `prepare()` в `experiments/lab062_full_packet_rf_preflight.py`: шестнадцать результатов `build_parameterized_tx_cs8(...)` записываются подряд, параметра паузы и записи нулей между ними нет. Это ошибка реализации подготовленного потока Lab062, а не доказанное ограничение генератора PHY.
+
+Записанный `longest = 16 672 bytes` для cs8 соответствует 8 336 комплексным отсчётам, 1,042 мс, 521 символу и 9,035727 % waveform одного пакета. Это оценка масштаба сообщения журнала. RX-запись не доказывает, что именно столько эфирных отсчётов было потеряно, повторено или заменено.
+
+Локальное сопоставление 512-символьными окнами с шагом 256 символов дало 359 окон. В 221 надёжном внутреннем окне задержка равна 0…1 отсчёту, скачков не найдено. Ещё 22 внутренних окна в пакетах 3, 4, 12 и 13 имеют корреляцию ниже порога 0,15; задержка в них не установлена:
+
+- `UNDERRUN LOCATION = NOT_LOCALIZED_FROM_RX`
+- `LOCAL DELAY DISCONTINUITY = NO IN 221 RELIABLE WINDOWS; UNDETERMINED IN 22 INTERNAL LOW-CORRELATION WINDOWS`
+
+Участки на краях пакетов и повторяющаяся PRBS-преамбула сохранены в CSV, но исключены из решения о разрыве: там возникают корреляционные копии с шагом 2 032 отсчёта. Те же ограничения применены к 22 внутренним окнам с низкой корреляцией. Низкая корреляция сама по себе отмечает локальную аномалию, но без надёжной временной привязки не определяет underrun.
+
+Ухудшение относительно Lab056 B наблюдается у всех 16 пакетов по трём общим показателям: доле ошибочных символов, EVM и отношению согласованной составляющей к остатку. При этом пакеты 3, 4, 12 и 13 дополнительно выделяются всплесками AC-мощности и остатка. Пакет 14 такого общего физического признака не имеет.
+
+- `PACKETS MOST AFFECTED = 13, 4, 12, 3`
+- `LAB062 QUALITY DISTRIBUTION = GLOBAL`
+- `PRIMARY CAUSE STATUS = PARTIALLY_LOCALIZED`
+
+Установлено глобальное ухудшение принятого сигнала и отсутствие наблюдаемого временного скачка в надёжных окнах. Точная физическая причина ухудшения и смысл расхождения промежуточного и итогового счётчиков `hackrf_transfer` не установлены.
+
+## Артефакты
+
+- `experiments/lab063_tx_underrun_localization.py`
+- `tests/test_lab063_tx_underrun_localization.py`
+- `data/processed/lab063/summary.json`
+- `data/processed/lab063/packet_quality.csv`
+- `data/processed/lab063/local_alignment.csv`
+- `docs/lab063_offline_result.md`
+
+Следующий один шаг до нового TX: отдельно согласовать исследование уровня RX, усилений, геометрии и возможной аналоговой компрессии или слишком слабого полезного сигнала. Для будущего повтора также потребуется однозначное журналирование TX underrun и явное добавление запланированных межпакетных пауз. RF-параметры в Lab063 не менялись.

docs/lab063_offline_result.md

@@ -0,0 +1,212 @@
+# Lab063: офлайн-локализация TX underrun и ухудшения пакетов Lab062
+
+## Что установлено
+
+Lab062 остаётся аппаратно невалидным опытом: во время единственной передачи журнал показал `1 underruns, longest 16672 bytes`, хотя итоговая строка показала ноль. Офлайн-анализ не нашёл в RX-записи временного скачка, пропуска или повтора ожидаемого масштаба в 221 надёжном внутреннем окне. Локальная задержка в них составляет 0…1 отсчёт. Ещё в 22 внутренних окнах корреляция ниже 0,15, поэтому задержку там установить нельзя.
+
+Качество сигнала при этом хуже Lab056 B на протяжении всего потока. Все 16 пакетов имеют большую долю ошибочных символов и EVM, а отношение согласованной полезной составляющей к остатку у всех ниже. Пакеты 3, 4, 12 и 13 содержат дополнительные всплески AC-мощности и остатка при почти неизменной TX-согласованной амплитуде. Это указывает на добавочную помеху или искажение, а не на провал полезной несущей в этих пакетах. По сохранённой записи нельзя установить конкретный аппаратный источник.
+
+Цифровые значения далеки от пределов cs8: по пакетам `max |I| = 3…6`, `max |Q| = 4…7`. Сильная аналоговая перегрузка поэтому менее вероятна. Отсутствие rail clipping не является измерением аналоговой линейности, и без отдельного прибора аналоговую компрессию исключить нельзя.
+
+Итоговый выбор: **B. `GLOBAL_RF_DEGRADATION`**. Единичный локальный underrun недостаточен для объяснения всего результата, а его положение по RX не локализовано.
+
+## Целостность и границы анализа
+
+Анализ выполнен без RF и без опроса аппаратуры:
+
+- TX SHA-256: `e84bbce227426c0aac13a48ded1286ca4a44fc6e3efce01f6e5a513217c87ff5`;
+- RX SHA-256: `ce0bd603e4ca356af67d504ee11c9e9f38171f31c7427fbe61216a28126b2b32`;
+- TX: 1 476 096 комплексных отсчётов;
+- RX: 24 000 000 комплексных отсчётов;
+- сохранённое начало TX в RX: отсчёт 4 256 091;
+- `RF TX = 0`;
+- аппаратных запросов: 0.
+
+Поиск использует известный TX только после строгого результата `0/16`; это диагностическая привязка, которая не превращает пакет в принятый и не меняет verdict `legacy` или T2.
+
+## Фактические паузы между пакетами
+
+Проверка длины даёт точное равенство:
+
+`92 256 отсчётов × 16 пакетов = 1 476 096 отсчётов`.
+
+Следовательно:
+
+`ACTUAL INTER-PACKET GAP = 0 additional samples = 0 s`.
+
+Запланированных пауз 5 мс в TX-файле нет. Внутренние защитные интервалы и хвосты RRC, входящие в каждый 92 256-отсчётный waveform, присутствуют.
+
+Код `prepare()` в `experiments/lab062_full_packet_rf_preflight.py` записывает шестнадцать результатов `build_parameterized_tx_cs8(...)` непосредственно друг за другом. Между вызовами нет параметра паузы, массива нулей или другой операции, которая добавила бы 5 мс. Причина: **ошибка реализации подготовки Lab062**. Возможность сформировать паузы в других генераторах проекта означает, что это не установленное ограничение PHY-генератора.
+
+## Масштаб сообщения TX underrun
+
+Для cs8 один комплексный отсчёт занимает два байта:
+
+| Величина | Значение |
+|---|---:|
+| Журнал, bytes | 16 672 |
+| Комплексные отсчёты | 8 336 |
+| Длительность при 8 Мвыб/с | 1,042 мс |
+| Символы при 500 ксимв/с | 521 |
+| Доля waveform одного пакета | 9,035727 % |
+
+Это только пересчёт масштаба строки журнала. Он не доказывает фактическую потерю, повтор или замену 8 336 отсчётов в эфире.
+
+## Локальное сопоставление TX и RX
+
+TX разбит на окна по 512 символов, то есть по 8 192 отсчёта. Шаг равен 256 символам, или 4 096 отсчётам. Для каждого окна независимо искалось положение в RX в пределах ±12 000 отсчётов, затем вычислялись нормированная корреляция, комплексный коэффициент `h`, его амплитуда и фаза, а также остаточная мощность.
+
+Повторяющаяся PRBS-преамбула создаёт ложные корреляционные максимумы с периодом 2 032 отсчёта. Поэтому решение о временном скачке использует внутреннюю часть каждого пакета от отсчёта 24 000 до 86 000 и требует корреляцию не ниже 0,15. Края, преамбула и внутренние окна ниже порога остаются в `local_alignment.csv` для проверки, но их выбранная задержка не участвует в verdict.
+
+| Показатель | Значение |
+|---|---:|
+| Всего окон | 359 |
+| Надёжных окон | 221 |
+| Внутренних окон с корреляцией ниже 0,15 | 22 |
+| Корреляция, минимум по всем окнам | 0,071665 |
+| Корреляция, медиана по всем окнам | 0,265526 |
+| Корреляция, максимум по всем окнам | 0,287394 |
+| Локальная задержка в надёжных окнах | 0…1 отсчёт |
+| Кандидаты на скачок | 0 |
+
+- `UNDERRUN LOCATION = NOT_LOCALIZED_FROM_RX`
+- `LOCAL DELAY DISCONTINUITY = NO IN 221 RELIABLE WINDOWS; UNDETERMINED IN 22 INTERNAL LOW-CORRELATION WINDOWS`
+
+Внутренние окна с низкой корреляцией распределены так:
+
+- пакет 3: 5 окон, позиции 69 440…85 824 отсчёта внутри пакета;
+- пакет 4: 7 окон, позиции 26 336…46 816 и 55 008 отсчётов;
+- пакет 12: 7 окон, позиции 58 336…82 912 отсчётов;
+- пакет 13: 3 окна, позиции 27 520…35 712 отсчёта.
+
+Низкая корреляция совпадает с пакетами, где выросли AC-мощность и остаток. Она подтверждает локальные участки сильного искажения. Без надёжной оценки задержки эти участки не доказывают пропуск или повтор отсчётов и не локализуют TX underrun.
+
+Поиск не подгонялся под ожидаемые 8 336 отсчётов. Он способен обнаружить синтетически вставленный скачок и проверяет переходы между пакетами; оба свойства закрыты отдельными тестами.
+
+## Качество пакетов 1–16
+
+`raw` означает полную принятую мощность вместе с DC. `useful` в таблице означает AC-мощность пакета после вычитания средней фоновой AC-мощности до и после потока. Это избыточная над фоном мощность, а не доказанная мощность только полезного TX-сигнала. `M/R` означает отношение TX-согласованной составляющей к остатку. Остаток включает шум, помехи, искажения канала и возможное влияние underrun.
+
+| № | raw, код² | useful, код² | SER, % | EVM RMS | matched / residual, код² | M/R, дБ | ripple, дБ | CFO, Гц | phase, рад |
+|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| 1 | 4,900592 | 0,062620 | 8,517888 | 1,088322 | 0,707513 / 0,838011 | -0,735151 | 6,642520 | +1,007302 | 5,396055 |
+| 2 | 4,865147 | 0,056422 | 9,795571 | 1,104921 | 0,670874 / 0,819037 | -0,866627 | 6,598551 | +1,641699 | 0,911620 |
+| 3 | 6,015186 | 1,184291 | 10,221465 | 1,357844 | 0,618128 / 1,139667 | -2,656997 | 7,370969 | -0,961988 | 0,917422 |
+| 4 | 8,462127 | 3,605520 | 15,587734 | 1,663418 | 0,694253 / 1,920969 | -4,420028 | 10,617549 | +2,584550 | 5,388297 |
+| 5 | 4,954615 | 0,062684 | 8,986371 | 1,099196 | 0,702182 / 0,848399 | -0,821507 | 6,409726 | -1,235846 | 0,834217 |
+| 6 | 4,919648 | 0,053559 | 7,580920 | 1,102402 | 0,644466 / 0,783214 | -0,846803 | 6,364293 | -1,779543 | 5,318132 |
+| 7 | 4,958322 | 0,059386 | 8,390119 | 1,100152 | 0,681935 / 0,825370 | -0,829054 | 6,236828 | -0,248409 | 1,461754 |
+| 8 | 4,913306 | 0,063207 | 8,262351 | 1,149257 | 0,638148 / 0,842861 | -1,208345 | 6,714921 | -1,078363 | 0,781772 |
+| 9 | 4,886956 | 0,065556 | 8,943782 | 1,141831 | 0,658122 / 0,858045 | -1,152037 | 6,809132 | +0,832282 | 1,073865 |
+| 10 | 4,915355 | 0,067571 | 8,347530 | 1,092396 | 0,697137 / 0,831913 | -0,767600 | 6,678161 | -1,337873 | 0,770315 |
+| 11 | 4,919918 | 0,072081 | 8,049404 | 1,085344 | 0,688251 / 0,810740 | -0,711347 | 6,630624 | +1,139696 | 0,886944 |
+| 12 | 6,800707 | 1,948029 | 12,819421 | 1,456604 | 0,631331 / 1,339491 | -3,266829 | 7,945032 | -0,158710 | 1,085095 |
+| 13 | 7,571594 | 2,728649 | 16,013629 | 1,542472 | 0,670672 / 1,595675 | -3,764344 | 9,871896 | -3,768748 | 1,477869 |
+| 14 | 4,931040 | 0,060762 | 9,454855 | 1,125042 | 0,631853 / 0,799750 | -1,023377 | 6,450866 | +0,071570 | 0,850015 |
+| 15 | 4,914640 | 0,056175 | 9,284497 | 1,156613 | 0,648517 / 0,867557 | -1,263765 | 7,550267 | +0,636870 | 5,326811 |
+| 16 | 4,976760 | 0,059023 | 8,603066 | 1,063657 | 0,702947 / 0,795290 | -0,536031 | 6,391673 | +1,336558 | 0,741441 |
+
+Полные значения, включая локальную задержку, корреляцию, `|h|`, DC и разности относительно Lab056 B, находятся в `data/processed/lab063/packet_quality.csv`.
+
+## Уровень RX и DC во время передачи
+
+Средняя фоновая AC-мощность соседних окон равна 0,525282 код², что соответствует AC RMS 0,724764 кода. На RX-only preflight было 0,985483 кода AC RMS.
+
+| № | RMS full | AC RMS | mean I | mean Q | max \|I\| | max \|Q\| | max \|IQ\| |
+|---:|---:|---:|---:|---:|---:|---:|---:|
+| 1 | 2,213728 | 0,766748 | 0,969270 | 1,836629 | 3 | 4 | 4,472136 |
+| 2 | 2,205708 | 0,762695 | 0,967753 | 1,829453 | 3 | 4 | 4,472136 |
+| 3 | 2,452588 | 1,307507 | 0,970094 | 1,834266 | 6 | 7 | 7,211102 |
+| 4 | 2,908974 | 2,032438 | 0,960349 | 1,846362 | 6 | 7 | 7,615773 |
+| 5 | 2,225897 | 0,766789 | 0,964512 | 1,853744 | 3 | 4 | 4,242640 |
+| 6 | 2,218028 | 0,760816 | 0,968934 | 1,844444 | 3 | 4 | 4,472136 |
+| 7 | 2,226729 | 0,764636 | 0,963515 | 1,856150 | 3 | 4 | 4,472136 |
+| 8 | 2,216598 | 0,767131 | 0,958919 | 1,845343 | 3 | 4 | 4,472136 |
+| 9 | 2,210646 | 0,768660 | 0,954128 | 1,840043 | 3 | 4 | 4,472136 |
+| 10 | 2,217060 | 0,769969 | 0,947830 | 1,850438 | 3 | 4 | 4,242640 |
+| 11 | 2,218089 | 0,772893 | 0,943039 | 1,852898 | 3 | 4 | 4,472136 |
+| 12 | 2,607816 | 1,572676 | 0,954995 | 1,848075 | 6 | 7 | 8,062258 |
+| 13 | 2,751653 | 1,803866 | 0,952307 | 1,846828 | 6 | 7 | 7,810249 |
+| 14 | 2,220594 | 0,765535 | 0,952166 | 1,854286 | 3 | 4 | 4,472136 |
+| 15 | 2,216899 | 0,762534 | 0,949651 | 1,852389 | 3 | 4 | 4,472136 |
+| 16 | 2,230865 | 0,764399 | 0,956903 | 1,864616 | 3 | 4 | 4,472136 |
+
+DC стабилен: `mean I = 0,943039…0,970094`, `mean Q = 1,829453…1,864616`. Ступени AC-амплитуды есть в пакетах 3, 4, 12 и 13. При этом медиана локального `|h|` по пакетам меняется только от 0,004488 до 0,004805. Рост полной AC-мощности в этих пакетах создаёт главным образом остаток, а не согласованный полезный компонент.
+
+## Пакеты 3, 4, 12 и 14
+
+У четырёх ранее отмеченных пакетов нет общего признака underrun:
+
+- у всех четырёх нет скачка задержки;
+- у них нет общего провала мощности;
+- у них нет общей потери локальной корреляции;
+- пакет 14 близок к обычным пакетам по AC RMS, SER, EVM и неравномерности полосы;
+- пакеты 3, 4 и 12 имеют всплески AC-мощности и остатка; аналогичный, ещё более выраженный всплеск есть у пакета 13.
+
+Поэтому связывать набор `3, 4, 12, 14` с одним TX underrun оснований нет. По сводному ранжированию наиболее повреждены пакеты `13, 4, 12, 3`.
+
+## Тренд по четвертям потока
+
+| Пакеты | useful, среднее код² | SER, % | EVM RMS | matched, код² | residual, код² | M/R, дБ | CFO, Гц | phase error, рад | local phase span, рад | медиана \|h\| |
+|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| 1–4 | 1,227213 | 11,030664 | 1,303626 | 0,672692 | 1,179421 | -2,169701 | +1,067891 | 3,153349 | 0,117419 | 0,004637 |
+| 5–8 | 0,059709 | 8,304940 | 1,112752 | 0,666683 | 0,824961 | -0,926427 | -1,085540 | 2,098969 | 0,150020 | 0,004608 |
+| 9–12 | 0,538309 | 9,540034 | 1,194044 | 0,668710 | 0,960047 | -1,474453 | +0,118849 | 0,954055 | 0,128511 | 0,004658 |
+| 13–16 | 0,726152 | 10,839012 | 1,221946 | 0,663497 | 1,014568 | -1,646879 | -0,430938 | 2,099034 | 0,098633 | 0,004536 |
+
+Согласованная составляющая и локальный коэффициент передачи стабильны по четвертям. Средний локальный фазовый размах лежит в пределах 0,098633…0,150020 рад; последовательного роста к концу потока нет. Остаток и SER меняются вместе со всплесками избыточной мощности. Базовое качество всех четвертей хуже Lab056 B.
+
+## Сравнение с Lab056 B
+
+| Метрика | Lab056 B | Lab062, диапазон пакетов | Результат |
+|---|---:|---:|---|
+| SER | 3,495896 % | 7,580920…16,013629 % | все 16 хуже |
+| EVM RMS | 0,845350 | 1,063657…1,663418 | все 16 хуже |
+| Matched/residual | +1,464846 дБ | -4,420028…-0,536031 дБ | все 16 хуже |
+| Неравномерность полосы | 5,471382 дБ | 6,236828…10,617549 дБ | все 16 хуже |
+
+Ухудшение не ограничено одним пакетом или коротким участком. Локальный TX-согласованный gain не показывает потери длиной около 8 336 отсчётов. Поэтому наблюдавшийся TX underrun остаётся достаточной причиной признать Lab062 невалидной, но не является достаточным объяснением глобально худшего качества.
+
+## Смысл счётчиков `hackrf_transfer`
+
+Сохранены обе строки:
+
+- промежуточная: `1 underruns, longest 16672 bytes`;
+- итоговая: `0 underruns, longest 0 bytes`.
+
+В локальной установке исходный файл `hackrf_transfer.c` и документация с описанием сброса этих счётчиков не найдены. В бинарном файле обнаружены только строки формата статистики. Поэтому:
+
+`COUNTER SEMANTICS = NOT_ESTABLISHED`.
+
+Нулевая итоговая строка не отменяет ненулевое промежуточное наблюдение. Причину расхождения без исходного кода используемой версии придумывать нельзя.
+
+## Графики и машинные результаты
+
+- [Локальная задержка](../data/processed/lab063/local_delay_vs_time.png)
+- [Нормированная корреляция](../data/processed/lab063/normalized_correlation_vs_time.png)
+- [Амплитуда коэффициента передачи](../data/processed/lab063/gain_vs_time.png)
+- [Фаза коэффициента передачи](../data/processed/lab063/phase_vs_time.png)
+- [Принятая мощность по пакетам](../data/processed/lab063/received_power_by_packet.png)
+- [SER по пакетам](../data/processed/lab063/symbol_error_rate_by_packet.png)
+- [Matched/residual по пакетам](../data/processed/lab063/matched_residual_by_packet.png)
+- [Сравнение Lab056 B и Lab062](../data/processed/lab063/lab056_b_vs_lab062_packets.png)
+- [Сводка JSON](../data/processed/lab063/summary.json)
+- [Качество пакетов CSV](../data/processed/lab063/packet_quality.csv)
+- [Локальное сопоставление CSV](../data/processed/lab063/local_alignment.csv)
+
+## Инженерный вывод
+
+`LAB062 QUALITY DISTRIBUTION = GLOBAL`.
+
+`PRIMARY CAUSE STATUS = PARTIALLY_LOCALIZED`.
+
+Найдена ошибка подготовки TX: обещанные межпакетные паузы не были записаны. Подтверждено глобальное ухудшение относительно Lab056 B и отдельные всплески помехи или искажения. Положение underrun и точная физическая причина общего ухудшения не установлены.
+
+`NEXT SINGLE STEP = до нового TX отдельно исследовать уровень RX, усиления, геометрию и возможную аналоговую компрессию либо слишком слабый полезный сигнал; будущий TX-процесс должен иметь явные паузы и однозначное журналирование underrun`.
+
+Новый RF-сеанс требует отдельного разрешения. В рамках Lab063 параметры PHY, приёмник, усиления и частота не менялись.
+
+- `RF TX = 0`
+- `LAB063 COMMIT = NOT PERFORMED`
+- `PUSH = NOT PERFORMED`
+- `LAB064 = NOT CREATED`

docs/lab064_current_state.md

@@ -0,0 +1,141 @@
+# Lab064: измерение уровня и линейности RF-тракта
+
+Lab064 проверяет, следует ли мощность согласованной принятой составляющей
+заранее заданной цифровой лестнице TX. Это измерительный опыт с известным
+PRBS7/BPSK-сигналом, а не пакетный тест. FEC, CRC, T2, JPEG и packet output в
+нём не используются.
+
+На текущем этапе сформирован сигнал, подготовлены RX-first runner, офлайн-
+анализатор и полный учёт сообщений overruns/underruns. Перед аппаратным
+preflight и будущим RF-сеансом исходные параметры не меняются.
+
+## Физические условия
+
+| Условие | Значение |
+|---|---|
+| Центральная частота | 1400000000 Гц |
+| Расстояние TX–RX | примерно 1,2 м |
+| Геометрия | прямая видимость, помещение |
+| TX | плата и антенна возле окна |
+| RX | плата и антенна на столе пользователя |
+| Антенны | имеющиеся антенны на 1400 МГц |
+| Поляризация | одинаковая |
+| Тактирование | 10 МГц TCXO → MASTER → MASTER CLKOUT → SLAVE CLKIN |
+
+Антенны, платы, длинный кабель общей опоры, USB-подключение и остальные
+кабели не перемещаются. Во время опыта не меняются частота, усиления,
+ориентация и форма сигнала.
+
+## Подготовленный измерительный сигнал
+
+Параметры сигнала: BPSK/PRBS7, 20000 символов/с, Fs 8000000 комплексных
+отсчётов/с, 400 отсчётов/символ, цифровая несущая +50000 Гц и существующий RRC
+с roll-off 0,35 и span 10 символов. TX VGA равен 10 дБ. RX LNA/VGA равны
+24/24 дБ. RF amplifier и Bias-Tee выключены.
+
+Один файл содержит 100 мс нулей, четыре одинаковых по содержанию участка по
+100 мс, три нулевых промежутка по 50 мс и 100 мс нулей в конце. Общая длина:
+6000000 комплексных отсчётов, 12000000 байт, 0,75 с. Нулевые участки являются
+цифровыми нулями IQ; они не означают аппаратного выключения TX посреди файла.
+
+SHA-256 подготовленного CS8:
+`fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9`.
+
+| Уровень | Задано, дБ | Фактически, дБ | TX RMS, код | max \|I\| / \|Q\|, код | Шаг мощности, дБ | Clipping |
+|---|---:|---:|---:|---:|---:|---|
+| L0 | −18 | −17,973685 | 5,556137 | 9 / 9 | — | нет |
+| L1 | −12 | −11,996415 | 11,056978 | 17 / 17 | +5,977270 | нет |
+| L2 | −6 | −5,998257 | 22,056892 | 34 / 35 | +5,998157 | нет |
+| L3 | 0 | 0 | 44,000457 | 69 / 69 | +5,998257 | нет |
+
+Небольшое отклонение L0 от −18 дБ вызвано квантованием CS8. Каждый шаг
+укладывается в заранее установленный допуск ±0,1 дБ.
+
+## Анализ будущей записи
+
+Для каждого L0…L3 анализатор отдельно выдаёт полный и AC RMS, средние I/Q,
+max |I|, max |Q| и максимальную комплексную амплитуду. По соседнему нулевому
+окну оценивается фон. По известному TX оцениваются комплексный коэффициент
+передачи `h`, `|h|²`, мощность согласованной составляющей, мощность остатка и
+их отношение.
+
+Для каждой соседней пары вычисляются:
+
+```text
+TX INPUT DIFFERENCE
+RX MATCHED POWER DIFFERENCE
+LINEARITY ERROR = RX difference − TX difference
+```
+
+Критерии зафиксированы до RF:
+
+- линейный участок: максимальная абсолютная ошибка шага не более 1,0 дБ;
+- признак компрессии: ошибка верхнего шага не более −1,5 дБ;
+- `LINEAR_BUT_WEAK`: шаги линейны, фон стабилен, а L3 ниже 3 дБ над остатком;
+- `HEALTHY_LINEAR_RANGE`: шаги линейны, фон стабилен, а L3 не менее 6 дБ над
+  остатком;
+- неоднозначный результат получает статус `NOT_LOCALIZED`.
+
+Эти границы являются правилами данного опыта, а не абсолютной калибровкой
+RF-мощности. Абсолютную выходную и принятую мощность без измерительного прибора
+установить нельзя.
+
+Синтетическая проверка известного линейного комплексного канала с DC и шумом
+восстановила три цифровых шага с максимальной ошибкой меньше 0,0001 дБ. Это
+проверяет вычисления анализатора, но не подтверждает аппаратные свойства
+HackRF или эфирного канала.
+
+## Управление аппаратным сеансом
+
+Preflight допускает только RX-команды. Он проверяет MASTER/SLAVE reg29=0x26,
+SLAVE CLKIN=DETECTED, процессы, инвентаризацию, 0,1 с фона, rail-коды,
+overruns, AC RMS и максимумы |I|/|Q|. Усиления автоматически не меняются.
+
+Будущий runner запускает RX раньше TX. Передача требует отдельного явного
+флага, создаёт одноразовый маркер до обращения к SDR и допускает ровно один
+TX-вызов. Полные stdout и stderr сохраняются раздельно. В итог попадают все
+промежуточные и финальные счётчики потерь, их максимум и последнее значение.
+Любой underrun, overrun, clipping или аппаратная ошибка завершает опыт без
+повтора. Анализатор при этом может сохранить диагностические метрики, но
+выдаёт только `INVALID_CAPTURE`: варианты A/B/C запрещены. Проверка использует
+все строки счётчиков и их максимум, поэтому последний ноль не может скрыть
+предыдущее ненулевое значение.
+
+После исправления строгой проверки счётчиков quick gate прошёл: 984 теста
+ядра, 37 функциональных проверок выполнены, 13 пропущены. Полный pytest:
+984 passed, 0 failed. Независимая read-only проверка подтвердила подготовленный
+CS8, программные метрики и запрет классификации невалидной записи.
+
+## Аппаратный preflight
+
+14 сентября 2026 года выполнена одна разрешённая аппаратная проверка при
+выключенном передатчике. MASTER/SLAVE reg29 равны `0x26`, SLAVE CLKIN имеет
+состояние `DETECTED` при первом опросе через 66,793 мс. RX-only запись длиной
+800000 отсчётов дала AC RMS 0,832038 кода, max |I|/|Q| 4/5 кодов, clipping 0 и
+overruns 0. Неожиданно сильного сигнала нет. После отключения CLKOUT процессы
+имеют состояние `CLEAR`, ошибок очистки нет. Подробности приведены в
+[отчёте preflight](lab064_rx_preflight.md).
+
+`RF TX = 0`. На этом этапе Lab064 не коммитируется. Push не выполняется.
+Lab065 автоматически не начинается.
+
+## Фактический RF-результат
+
+14 сентября 2026 года выполнен один разрешённый RF-сеанс без повторов. TX
+underruns 0, RX overruns 0, clipping 0; RX содержит 16000000 комплексных
+отсчётов за 2,0 с. Согласованная мощность выросла на 17,809077 дБ при цифровом
+росте 17,973685 дБ. Общая ошибка линейности равна −0,164609 дБ. Верхняя ступень
+дала +6,020420 дБ при ожидаемых +5,998257 дБ, признака компрессии нет.
+
+Фон стабилен: AC RMS 0,718264…0,728217 кода, разброс мощности 0,119530 дБ.
+Даже L3 остаётся на −12,133336 дБ относительно остатка. Итог по заранее
+заданным критериям: `LINEAR_BUT_WEAK`. Подробные значения приведены в
+[RF-отчёте](lab064_rf_result.md).
+
+После сеанса `RF TX = 0`, процессы `CLEAR`. Усиления не менялись, второй TX не
+выполнялся. Lab064 не коммитировалась, push не выполнялся, Lab065 не создана.
+
+Независимый пересчёт непосредственно по TX/RX CS8 подтвердил SHA, аппаратные
+счётчики, все четыре matched/residual/`h`, пять окон фона, три ступени и общий
+результат L3/L0. Расхождений нет, вердикт проверки: `чисто`. После сеанса quick
+gate и полный pytest дали 986 passed, 0 failed; `git diff --check` прошёл.

docs/lab064_rf_result.md

@@ -0,0 +1,216 @@
+# Lab064: результат измерения уровня и линейности RF-тракта
+
+В одном коротком OTA-сеансе цифровая мощность TX была увеличена почти на 18 дБ,
+то есть цифровая амплитуда выросла примерно в 7,92 раза. Согласованная с
+известным TX амплитуда на RX выросла в 7,77 раза, а её мощность на 17,81 дБ.
+Коэффициент передачи `|h|` почти не менялся. Признака компрессии на верхнем
+уровне не обнаружено.
+
+При этом полезная согласованная составляющая остаётся слабее остатка даже на
+L3: −12,13 дБ. Фон во всех пяти нулевых окнах стабилен. По заранее заданным
+критериям результат классифицирован как `LINEAR_BUT_WEAK`.
+
+Опыт установил относительную линейность именно этой цифровой лестницы в
+текущей OTA-геометрии. Он не измеряет абсолютную мощность в ваттах или дБм и не
+разделяет вклад TX, антенн, эфирного канала и RX. Для этого нужен измерительный
+прибор или отдельный проведённый тест по кабелю.
+
+## Сеанс и аппаратная целостность
+
+14 сентября 2026 года выполнен ровно один разрешённый TX. RX стартовал раньше
+TX. Повторных передач не было.
+
+| Проверка | Результат |
+|---|---:|
+| TX waveform SHA-256 | `fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9` |
+| RF / Fs / symbol rate | 1400000000 Гц / 8000000 отсчётов/с / 20000 символов/с |
+| TX VGA / RX LNA / RX VGA | 10 / 24 / 24 дБ |
+| RF amplifier / Bias-Tee | выключены |
+| MASTER / SLAVE reg29 | `0x26` / `0x26` |
+| SLAVE CLKIN | `DETECTED`, второй опрос, 139,042 мс |
+| Выполненные TX-сеансы | 1 |
+| Автоматические повторы | 0 |
+| TX underrun, максимум / финал | 0 / 0 |
+| RX overrun, максимум / финал | 0 / 0 |
+| RX clipping | 0 |
+| RX длина | 16000000 комплексных отсчётов, 2,000000 с |
+| RX SHA-256 | `02015891948aaee52ff81e60fdfeb391bb9b76cd9192b75972b8fedbc8690d86` |
+| Процессы до / после | `CLEAR` / `CLEAR` |
+| Ошибки очистки | 0 |
+
+В TX-журнале сохранены две строки `0 underruns`; в RX-журнале сохранены четыре
+строки `0 overruns`. Анализ использует все наблюдения и их максимум. Финальный
+нулевой счётчик не мог бы скрыть промежуточное ненулевое значение.
+
+## Фон
+
+Каждое окно имеет длину 160000 отсчётов, или 20 мс, и лежит внутри цифрового
+нулевого участка вдали от активной границы.
+
+| Окно | AC power, код² | AC RMS, код |
+|---|---:|---:|
+| Начальный guard | 0,521529 | 0,722170 |
+| Gap L0–L1 | 0,523180 | 0,723312 |
+| Gap L1–L2 | 0,515904 | 0,718264 |
+| Gap L2–L3 | 0,522200 | 0,722634 |
+| Конечный guard | 0,530300 | 0,728217 |
+
+Диапазон AC RMS равен 0,718264…0,728217 кода. Отношение максимальной AC-мощности
+к минимальной составляет 0,119530 дБ при заранее заданной границе стабильности
+3 дБ. Фон считается стабильным.
+
+## Метрики участков
+
+Мощности приведены в квадрате цифрового кода RX. Это относительные цифровые
+величины, а не ватты и не дБм.
+
+### L0, −18 дБ
+
+```text
+FULL IQ RMS = 2.277200 code
+AC RMS = 0.956317 code
+MEAN I = 0.949724 code
+MEAN Q = 1.835518 code
+MAX |I| = 6 code
+MAX |Q| = 7 code
+MAX COMPLEX MAGNITUDE = 7.071068 code
+BACKGROUND AC POWER = 0.521529 code^2
+MATCHED SIGNAL POWER = 0.000750751 code^2
+RESIDUAL POWER = 1.213794804 code^2
+MATCHED / RESIDUAL = -32.086493 dB
+h = 0.001876064 - j0.004508063
+|h| = 0.004882853
+|h|^2 = 0.000023842249
+CFO = +0.095772 Hz
+```
+
+### L1, −12 дБ
+
+```text
+FULL IQ RMS = 2.291392 code
+AC RMS = 0.989014 code
+MEAN I = 0.956038 code
+MEAN Q = 1.832573 code
+MAX |I| = 6 code
+MAX |Q| = 7 code
+MAX COMPLEX MAGNITUDE = 7.211103 code
+BACKGROUND AC POWER = 0.523180 code^2
+MATCHED SIGNAL POWER = 0.002961235 code^2
+RESIDUAL POWER = 1.069594603 code^2
+MATCHED / RESIDUAL = -25.577463 dB
+h = 0.004471119 - j0.001937686
+|h| = 0.004872939
+|h|^2 = 0.000023745532
+CFO = -0.168571 Hz
+```
+
+### L2, −6 дБ
+
+```text
+FULL IQ RMS = 2.275060 code
+AC RMS = 0.925298 code
+MEAN I = 0.963183 code
+MEAN Q = 1.841739 code
+MAX |I| = 6 code
+MAX |Q| = 7 code
+MAX COMPLEX MAGNITUDE = 7.280110 code
+BACKGROUND AC POWER = 0.515904 code^2
+MATCHED SIGNAL POWER = 0.011333436 code^2
+RESIDUAL POWER = 0.529088688 code^2
+MATCHED / RESIDUAL = -16.691669 dB
+h = 0.003277253 - j0.003478187
+|h| = 0.004778930
+|h|^2 = 0.000022838175
+CFO = +0.006742 Hz
+```
+
+### L3, 0 дБ
+
+```text
+FULL IQ RMS = 2.341160 code
+AC RMS = 1.057677 code
+MEAN I = 0.957558 code
+MEAN Q = 1.856188 code
+MAX |I| = 6 code
+MAX |Q| = 7 code
+MAX COMPLEX MAGNITUDE = 7.280110 code
+BACKGROUND AC POWER = 0.522200 code^2
+MATCHED SIGNAL POWER = 0.045331864 code^2
+RESIDUAL POWER = 0.740861774 code^2
+MATCHED / RESIDUAL = -12.133336 dB
+h = 0.003384388 - j0.003391322
+|h| = 0.004791153
+|h|^2 = 0.000022955145
+CFO = -0.076067 Hz
+```
+
+Максимумы активных участков равны `|I|=6` и `|Q|=7`. Полная двухсекундная
+запись также далека от rail-кодов: `|I|=7`, `|Q|=8`. Это исключает цифровой
+clipping в записи, но не является самостоятельным доказательством идеальной
+линейности аналогового тракта.
+
+## Линейность мощности и амплитуды
+
+| Пара | TX, дБ | RX matched, дБ | Ошибка, дБ | TX amplitude ratio | RX matched amplitude ratio |
+|---|---:|---:|---:|---:|---:|
+| L0 → L1 | +5,977270 | +5,959770 | −0,017501 | 1,990048 | 1,986042 |
+| L1 → L2 | +5,998157 | +5,828887 | −0,169270 | 1,994839 | 1,956340 |
+| L2 → L3 | +5,998257 | +6,020420 | +0,022162 | 1,994862 | 1,999959 |
+| L0 → L3 | +17,973685 | +17,809077 | −0,164609 | 7,919254 | 7,770587 |
+
+Максимальная абсолютная ошибка отдельной ступени равна 0,169270 дБ и заметно
+меньше заранее установленной границы линейности 1,0 дБ. Верхняя ступень не
+отстаёт от TX: она выросла на 6,020420 дБ при ожидаемых 5,998257 дБ. Порог
+признака компрессии составлял −1,5 дБ ошибки верхней ступени; фактическая
+ошибка равна +0,022162 дБ.
+
+`|h|` изменился от 0,004882853 на L0 до 0,004791153 на L3. Это соответствует
+−0,164609 дБ по мощности и совпадает с общей ошибкой линейности. Систематического
+падения коэффициента передачи на верхнем уровне нет.
+
+Остаточная мощность при переходе L2 → L3 выросла примерно на 1,46 дБ, тогда
+как согласованная полезная мощность выросла на 6,02 дБ. Отношение
+matched/residual улучшилось с −16,69 до −12,13 дБ. Ухудшения формы сигнала на
+L3 относительно L2 по этому показателю нет.
+
+Диагностические полосы остатка около 50/100/150 кГц на L3 равны
+0,009576/0,004469/0,002725 код². Они не растут быстрее согласованной мощности
+при переходе L2 → L3. Эти полосы не являются калиброванным измерением
+RF-гармоник, поэтому абсолютный вывод о спектральной чистоте потребовал бы
+анализатора спектра.
+
+## Вывод
+
+```text
+CLASSIFICATION = LINEAR_BUT_WEAK
+```
+
+Текущий тракт воспроизводит цифровые ступени почти один к одному по дБ. Данных
+за компрессию при TX VGA 10 дБ и RX LNA/VGA 24/24 дБ нет. Главная проблема
+этого сеанса состоит в низкой согласованной полезной мощности относительно
+остатка: даже на L3 запас равен −12,13 дБ.
+
+Практически это означает, что простое объяснение Lab062 аналоговой перегрузкой
+текущего тракта не подтверждается. Слабое отношение полезной составляющей к
+остатку остаётся вероятным фактором плохого 500K-приёма, хотя Lab064 использует
+узкий сигнал 20 ksymbol/s и сама по себе не объясняет все широкополосные
+искажения Lab062.
+
+Рекомендуемый следующий отдельный шаг: согласовать повтор той же лестницы при
+TX VGA 20 дБ, сохранив RX LNA/VGA 24/24 дБ, частоту, геометрию, waveform и
+общую опору. Это проверит, улучшается ли matched/residual при сохранении
+линейности. В рамках Lab064 усиления не менялись и второй TX не выполнялся.
+
+## Независимая проверка
+
+Проверяющий агент работал только с сохранёнными файлами и не обращался к
+оборудованию. Он независимо пересчитал SHA-256, положение четырёх сегментов,
+пять окон фона, matched/residual, комплексные `h`, отношения мощности и
+амплитуды, общий результат L3/L0 и все двенадцать спектральных значений.
+Подтверждённых расхождений нет. Целевые тесты дали 15 passed; итоговый вердикт:
+`чисто`.
+
+После RF-сеанса quick gate прошёл: 986 тестов ядра, 37 функциональных проверок,
+13 пропусков. Полный pytest: 986 passed, 0 failed. `git diff --check`: PASS.
+
+`RF TX = 0`. Lab064 не коммитировалась, push не выполнялся, Lab065 не создана.

docs/lab064_rx_preflight.md

@@ -0,0 +1,120 @@
+# Lab064: подготовка и RX-only preflight
+
+14 сентября 2026 года завершена программная подготовка измерения уровня и
+линейности текущего OTA-тракта. Затем выполнена одна аппаратная проверка общей
+опоры и RX-фона. Preflight прошёл. Передатчик не запускался: `RF TX = 0`.
+
+## Условия
+
+| Параметр | Значение |
+|---|---|
+| Центральная частота | 1400000000 Гц |
+| Скорость символов | 20000 символов/с |
+| Частота дискретизации | 8000000 комплексных отсчётов/с |
+| Цифровая несущая | +50000 Гц |
+| TX VGA | 10 дБ |
+| RX LNA / VGA | 24 / 24 дБ |
+| RF amplifier / Bias-Tee | выключены |
+| Расстояние TX–RX | примерно 1,2 м |
+| Геометрия | прямая видимость, помещение |
+| TX | плата и антенна возле окна |
+| RX | плата и антенна на столе пользователя |
+| Антенны | имеющиеся антенны на 1400 МГц |
+| Поляризация | одинаковая |
+| Общая опора | 10 МГц TCXO → MASTER → MASTER CLKOUT → SLAVE CLKIN |
+
+Антенны, платы, длинный кабель общей опоры, USB-подключение и остальные
+кабели не перемещались. Усиления не менялись.
+
+## Измерительный TX-файл
+
+Подготовлен один детерминированный PRBS7/BPSK/RRC-сигнал с уровнями −18, −12,
+−6 и 0 дБ относительно номинального waveform. Он состоит из 100 мс начальных
+нулей, четырёх участков по 100 мс, трёх промежутков по 50 мс и 100 мс конечных
+нулей. Полная длительность равна 0,75 с, длина составляет 6000000 комплексных
+отсчётов и 12000000 байт.
+
+| Уровень | TX RMS, код | max \|I\| / \|Q\|, код | Фактический уровень, дБ | Шаг, дБ |
+|---|---:|---:|---:|---:|
+| L0 | 5,556137 | 9 / 9 | −17,973685 | — |
+| L1 | 11,056978 | 17 / 17 | −11,996415 | +5,977270 |
+| L2 | 22,056892 | 34 / 35 | −5,998257 | +5,998157 |
+| L3 | 44,000457 | 69 / 69 | 0 | +5,998257 |
+
+Цифрового clipping нет. SHA-256:
+`fa260719659b2984fe29588238415622cd75c6daefec6cc9130ba1bf851bd3f9`.
+
+Синтетический линейный канал с известным комплексным коэффициентом, DC и
+шумом прошёл software gate. После независимой проверки анализатор изменён так,
+чтобы промежуточный ненулевой счётчик нельзя было скрыть финальным нулём. При
+любой потере сохраняются диагностические метрики, но A/B/C-классификация
+запрещается и результат получает статус `INVALID_CAPTURE`.
+
+## Common clock
+
+Свежая инвентаризация подтвердила две HackRF One r9 с firmware/libhackrf
+2024.02.1. Роли сохранены:
+
+- MASTER `000000000000000097c063dc323b97d3`;
+- SLAVE `000000000000000097c063dc2e5327d3`.
+
+Аппаратная проверка получила:
+
+```text
+MASTER reg29 = 0x26
+SLAVE reg29 = 0x26
+SLAVE CLKIN = DETECTED
+CLKIN query = 1
+time to detect = 66.793 ms
+```
+
+## RX-only фон
+
+SLAVE записал 800000 комплексных отсчётов, 0,1 с, при 1400 МГц и RX LNA/VGA
+24/24 дБ.
+
+| Метрика | Значение |
+|---|---:|
+| Полный RMS IQ | 2,193193 кода |
+| AC RMS после удаления среднего | 0,832038 кода |
+| Средние I / Q | 0,933738 / 1,801650 кода |
+| max \|I\| / \|Q\| | 4 / 5 кодов |
+| Максимальная комплексная амплитуда | 5,385165 кода |
+| Clipping | 0 / 800000 отсчётов |
+| RX overruns | 0, максимум и финальное значение |
+| Неожиданно сильный сигнал | нет |
+
+Порог STOP для неожиданно сильного цифрового фона: AC RMS не менее 20 кодов
+или max |I|/|Q| не менее 100 кодов. Измеренные значения значительно ниже.
+Отсутствие rail-кодов не доказывает отсутствие аналоговой компрессии при
+будущей передаче. Абсолютная RF-мощность без измерительного прибора неизвестна.
+
+SHA-256 RX-only записи:
+`02d87adcbb621027290a77d5f8fd3190c299d13e89f887cd294d4af352a6ef52`.
+
+Процессы до и после preflight имели состояние `CLEAR`. Оба CLKOUT выключены,
+ошибок очистки нет. Preflight сохранил все две строки счётчика RX overruns;
+обе равны нулю. Вызовов `hackrf_transfer -t` не было, `rf_tx_count = 0`.
+
+## Проверки и артефакты
+
+- quick gate: 984 теста ядра, 37 функциональных проверок, 13 пропусков;
+- pytest: 984 passed, 0 failed;
+- целевые тесты Lab064: 13 passed;
+- `git diff --check`: PASS;
+- независимая read-only проверка: чисто.
+
+Артефакты:
+
+- [подготовка](../data/processed/lab064/preparation.json);
+- [software gate](../data/processed/lab064/software_gate.json);
+- [preflight](../data/processed/lab064/preflight_result.json);
+- CS8 и исходные аппаратные журналы находятся в `data/raw/lab064/` и в Git не
+  входят.
+
+`READY FOR SINGLE LAB064 TX = YES` означает техническую готовность только этой
+конфигурации. Передача требует отдельного явного разрешения пользователя.
+`RF TX = 0`. STOP.
+
+Lab064 не коммитируется до аппаратного результата. Push не выполняется.
+Lab065 автоматически не начинается.

experiments/lab062_full_packet_rf_preflight.py

@@ -0,0 +1,475 @@
+"""Lab062: подготовка полного 500K PHY-сеанса и RX-only preflight."""
+
+from __future__ import annotations
+
+from dataclasses import asdict
+import hashlib
+import json
+from pathlib import Path
+import subprocess
+import sys
+import time
+
+if __package__ in (None, ""):
+    sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+import numpy as np
+
+from experiments import lab049_bpsk_symbol_rate as phy
+from experiments import lab053_packet_processing as packet_processing
+from experiments import lab053_streaming_receiver as streaming
+from experiments import lab054_hardware_control as lab054
+from experiments import lab056_abab_energy as measurements
+from experiments import lab056_capture_runner as hardware
+
+
+ROOT = Path(__file__).resolve().parents[1]
+RAW = ROOT / "data/raw/lab062"
+OUTPUT = ROOT / "data/processed/lab062"
+POINT = hardware.OperatingPoint(
+    frequency_hz=1_400_000_000,
+    physical_path="MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+    path_confirmed=True,
+    tx_antenna="existing 1400 MHz antenna near window",
+    rx_antenna="existing 1400 MHz antenna on desk",
+    distance_m=1.2,
+    orientation="same polarization; fixed during preflight and RF session",
+    visibility="LOS indoor",
+)
+MODE = phy.PhyMode(500_000)
+PACKETS = 16
+PAYLOAD_BYTES = 256
+PREFLIGHT_SAMPLES = 800_000
+RX_SECONDS = 3
+RX_SAMPLES = RX_SECONDS * MODE.sample_rate_hz
+RX_LEAD_SECONDS = 0.5
+STRONG_AC_RMS_CODE = 20.0
+STRONG_COMPONENT_CODE = 100.0
+
+
+def save_new(path: Path, value: dict) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("x", encoding="utf-8") as stream:
+        json.dump(value, stream, ensure_ascii=False, indent=2)
+
+
+def sha256(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as stream:
+        while block := stream.read(1024 * 1024):
+            digest.update(block)
+    return digest.hexdigest()
+
+
+def plans():
+    result = lab054.plans()
+    if len(result) != PACKETS or any(len(frame.plan.payload) != PAYLOAD_BYTES for frame in result):
+        raise RuntimeError("Штатный генератор не дал 16 payload по 256 байт")
+    return result
+
+
+def parameters() -> dict:
+    return {
+        "rf_frequency_hz": POINT.frequency_hz,
+        "sample_rate_hz": MODE.sample_rate_hz,
+        "symbol_rate": MODE.symbol_rate,
+        "samples_per_symbol": MODE.samples_per_symbol,
+        "digital_carrier_hz": lab054.phy.lab045.CARRIER_OFFSET_HZ,
+        "packets": PACKETS,
+        "payload_bytes": PAYLOAD_BYTES,
+        "tx_vga_db": 10,
+        "rx_lna_db": 24,
+        "rx_vga_db": 24,
+        "rf_amplifier": False,
+        "bias_tee": False,
+        "geometry": asdict(POINT),
+        "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN",
+    }
+
+
+def transfer_command(path: Path | str, samples: int, *, transmit: bool = False) -> list[str]:
+    return hardware.command(POINT, path, samples, transmit=transmit)
+
+
+def prepare() -> dict:
+    RAW.mkdir(parents=True, exist_ok=True)
+    OUTPUT.mkdir(parents=True, exist_ok=True)
+    waveform_path = RAW / "tx_stream.cs8"
+    if waveform_path.exists():
+        raise FileExistsError("Lab062 TX уже существует; перезапись запрещена")
+    with waveform_path.open("xb") as stream:
+        for frame in plans():
+            stream.write(phy.build_parameterized_tx_cs8(frame.plan, MODE))
+    samples = waveform_path.stat().st_size // 2
+    result = {
+        "lab": "Lab062", "stage": "PREPARATION_ONLY", "rf_tx_count": 0,
+        "head": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "parameters": parameters(), "tx_samples": samples,
+        "tx_bytes": waveform_path.stat().st_size,
+        "tx_duration_seconds": samples / MODE.sample_rate_hz,
+        "tx_sha256": sha256(waveform_path), "rx_samples": RX_SAMPLES,
+        "rx_duration_seconds": RX_SECONDS, "automatic_retry": False,
+        "tx_command_prepared_not_run": transfer_command(waveform_path, samples, transmit=True),
+        "rx_command_prepared_not_run": transfer_command(RAW / "rx_stream.cs8", RX_SAMPLES),
+    }
+    save_new(RAW / "tx_metadata.json", result)
+    save_new(OUTPUT / "preparation.json", result)
+    return result
+
+
+def validate_prepared() -> dict:
+    metadata = json.loads((RAW / "tx_metadata.json").read_text(encoding="utf-8"))
+    path = RAW / "tx_stream.cs8"
+    expected = hashlib.sha256()
+    expected_bytes = 0
+    for frame in plans():
+        block = phy.build_parameterized_tx_cs8(frame.plan, MODE)
+        expected.update(block)
+        expected_bytes += len(block)
+    if (metadata.get("stage") != "PREPARATION_ONLY" or metadata.get("rf_tx_count") != 0
+            or metadata.get("parameters") != parameters() or path.stat().st_size != expected_bytes
+            or metadata.get("tx_sha256") != expected.hexdigest() or sha256(path) != expected.hexdigest()):
+        raise RuntimeError("Подготовленный Lab062 TX или параметры изменились")
+    return metadata
+
+
+def decode(mode: str, source_path: Path | None = None, *, diagnostics: bool = False) -> dict:
+    observations = []
+    receiver = streaming.StreamingReceiver(
+        processor=packet_processing.PacketProcessor(carrier_tracking_mode=mode),
+        packet_observer=lambda row, outcome: observations.append((row, outcome)),
+    )
+    received = []
+    with (source_path or (RAW / "tx_stream.cs8")).open("rb") as stream:
+        while block := stream.read(2 * receiver.block_samples):
+            values = np.frombuffer(block, np.int8)
+            samples = values[::2].astype(np.float32) + 1j * values[1::2].astype(np.float32)
+            received.extend(receiver.push_iq_block(samples.astype(np.complex64)))
+    received.extend(receiver.finish())
+    expected = [frame.plan.payload for frame in plans()]
+    actual = [item.payload for item in received]
+    result = {
+        "mode": mode, "candidates": len(observations), "true_packets_found": len(actual),
+        "header_pass": sum(outcome.phy_header_pass for _, outcome in observations),
+        "fec_started": sum(outcome.fec_attempted for _, outcome in observations),
+        "fec_pass": sum(outcome.fec_pass for _, outcome in observations),
+        "crc_started": sum(outcome.crc != "NOT_REACHED" for _, outcome in observations),
+        "crc_pass": sum(outcome.crc == "PASS" for _, outcome in observations),
+        "packet_output": len(actual),
+        "exact_payload_match": sum(payload in expected for payload in actual),
+        "exact_ordered_payloads": actual == expected,
+        "passed": len(actual) == PACKETS and actual == expected,
+    }
+    if diagnostics:
+        payload_to_index = {payload: index + 1 for index, payload in enumerate(expected)}
+        result["passed_packet_indexes"] = sorted(
+            payload_to_index[payload] for payload in actual if payload in payload_to_index
+        )
+        rows = []
+        for row, outcome in observations:
+            payload = None
+            if outcome.frame is not None and outcome.frame.reception.payload_bytes is not None:
+                payload = bytes(outcome.frame.reception.payload_bytes)
+            traces = row.get("carrier_tracking_traces", ())
+            final_frequency = None
+            if traces and len(traces[-1].frequency_hz):
+                final_frequency = float(traces[-1].frequency_hz[-1])
+            rows.append({
+                "absolute_refined": int(row["absolute_refined"]),
+                "reason": outcome.reason,
+                "header": bool(outcome.phy_header_pass),
+                "fec_started": bool(outcome.fec_attempted),
+                "fec": bool(outcome.fec_pass),
+                "crc_started": outcome.crc != "NOT_REACHED",
+                "crc": outcome.crc == "PASS",
+                "packet_output": bool(outcome.accepted and outcome.crc == "PASS"),
+                "packet_index_after_verdict": payload_to_index.get(payload),
+                "initial_frequency_hz": row.get("cfo_hz"),
+                "t2_final_frequency_hz": final_frequency,
+                "t2_lock_status": "NOT_DEFINED_BY_IMPLEMENTATION" if mode == "t2" else "NOT_APPLICABLE",
+            })
+        result["rows"] = rows
+        result["detector_statistics"] = dict(receiver.detection_statistics)
+        result["candidate_overflow"] = receiver.candidate_overflow
+    return result
+
+
+def software_gate() -> dict:
+    metadata = validate_prepared()
+    legacy = decode("legacy")
+    t2 = decode("t2")
+    result = {
+        "lab": "Lab062", "stage": "SOFTWARE_GATE", "rf_tx_count": 0,
+        "tx_sha256": metadata["tx_sha256"], "legacy": legacy, "t2": t2,
+        "passed": legacy["passed"] and t2["passed"],
+    }
+    save_new(OUTPUT / "software_gate.json", result)
+    if not result["passed"]:
+        raise RuntimeError("Lab062 software gate FAIL")
+    return result
+
+
+def preflight(*, runner=None, process_checker=None, clock_checker=None,
+              sleep_function=time.sleep) -> dict:
+    metadata = validate_prepared()
+    software = json.loads((OUTPUT / "software_gate.json").read_text(encoding="utf-8"))
+    if not software.get("passed") or software.get("tx_sha256") != metadata["tx_sha256"]:
+        raise RuntimeError("Нет действующего software gate")
+    save_new(RAW / "preflight_attempt.json", {
+        "lab": "Lab062", "rf_tx_count": 0, "point": asdict(POINT),
+        "tx_sha256": metadata["tx_sha256"],
+    })
+    actual_runner = runner or lab054.clock._default_command_runner
+    process_checker = process_checker or lab054.check_processes
+    clock_checker = clock_checker or hardware.common_clock
+
+    def rx_only(command):
+        if "-t" in command:
+            raise PermissionError("TX запрещён в Lab062 preflight")
+        return actual_runner(command)
+
+    result = {
+        "lab": "Lab062", "stage": "RX_ONLY_PREFLIGHT", "passed": False,
+        "rf_tx_count": 0, "point": asdict(POINT), "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"], "stop_before_tx": True,
+    }
+    clock_started = False
+    try:
+        before = process_checker()
+        result["process_before"] = before.to_dict()
+        lab054.require_clear(before)
+        result["inventory"] = lab054.phy.lab045._verify_device_inventory(rx_only)
+        clock_started = True
+        result["clock"] = clock_checker(
+            POINT, rx_only, lab054.clock.TransmitGuard(), sleep_function=sleep_function
+        )
+        hardware.require_clock_pass(result["clock"])
+        path = RAW / "preflight_rx.cs8"
+        if path.exists():
+            raise FileExistsError("Lab062 preflight RX уже существует")
+        captured = rx_only(transfer_command(path, PREFLIGHT_SAMPLES))
+        result["rx_process"] = {
+            "returncode": captured.returncode,
+            "stdout": captured.stdout or "", "stderr": captured.stderr or "",
+        }
+        log = (captured.stdout or "") + (captured.stderr or "")
+        if captured.returncode or not hardware.clean_counter_log(log, "overrun"):
+            raise RuntimeError("RX preflight: процесс или счётчик overruns не прошёл")
+        if path.stat().st_size != 2 * PREFLIGHT_SAMPLES:
+            raise RuntimeError("Неверная длина Lab062 preflight RX")
+        level = hardware.receive_level(path)
+        # У RX-only фона нет символов. Унаследованная метрика Lab056 была бы
+        # привязана к её 20 ksymbol/s и здесь физически неприменима.
+        level.pop("symbol_energy_code2_seconds", None)
+        level["symbol_energy"] = "NOT_APPLICABLE_TO_BACKGROUND"
+        ac_rms = float(np.sqrt(max(0.0, level["ac_power_code2"])))
+        strong = bool(ac_rms >= STRONG_AC_RMS_CODE or level["max_abs_i"] >= STRONG_COMPONENT_CODE
+                      or level["max_abs_q"] >= STRONG_COMPONENT_CODE)
+        level.update({
+            "ac_rms_code": ac_rms,
+            "unexpected_strong_signal": strong,
+            "strong_signal_rule": (
+                f"AC RMS >= {STRONG_AC_RMS_CODE} code or max |I|/|Q| >= "
+                f"{STRONG_COMPONENT_CODE} code"
+            ),
+        })
+        result["rx_level"] = level
+        result["rx_sha256"] = sha256(path)
+        result["rx_overruns"] = 0
+        if level["saturation_detected"]:
+            raise RuntimeError("RX clipping; STOP без изменения gain")
+        if strong:
+            raise RuntimeError("Неожиданно сильный RX-only фон; STOP без изменения gain")
+        result["passed"] = True
+    except Exception as error:
+        result["error"] = str(error)
+        raise
+    finally:
+        errors = lab054.disable_clock_outputs(rx_only) if clock_started else []
+        try:
+            after = process_checker()
+            result["process_after"] = after.to_dict()
+            lab054.require_clear(after)
+        except Exception as error:
+            errors.append(str(error))
+        result["cleanup_errors"] = errors
+        result["passed"] = result["passed"] and not errors
+        save_new(RAW / "preflight_result.json", result)
+        OUTPUT.mkdir(parents=True, exist_ok=True)
+        (OUTPUT / "preflight_result.json").write_text(
+            json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8"
+        )
+    if not result["passed"]:
+        raise RuntimeError("Lab062 preflight cleanup FAIL")
+    return result
+
+
+def require_preflight(metadata: dict) -> dict:
+    """Проверить сохранённый preflight именно для подготовленного потока Lab062."""
+    record = json.loads((RAW / "preflight_result.json").read_text(encoding="utf-8"))
+    if (record.get("passed") is not True or record.get("rf_tx_count") != 0
+            or record.get("point") != asdict(POINT)
+            or record.get("parameters") != parameters()
+            or record.get("tx_sha256") != metadata["tx_sha256"]):
+        raise PermissionError("Нет успешного RX-only preflight для этой конфигурации Lab062")
+    hardware.require_clock_pass(record.get("clock", {}))
+    level = record.get("rx_level", {})
+    if (level.get("saturation_detected") is not False
+            or level.get("unexpected_strong_signal") is not False
+            or record.get("rx_overruns") != 0):
+        raise PermissionError("RX-only preflight не разрешает передачу")
+    return record
+
+
+def capture_once(*, authorization: bool = False, runner=None, process_starter=None,
+                 process_checker=None, clock_checker=None,
+                 sleep_function=time.sleep) -> dict:
+    """Выполнить один RX-first сеанс и навсегда израсходовать попытку до обращения к SDR."""
+    if authorization is not True:
+        raise PermissionError("Нужно отдельное разрешение на единственный RF-сеанс Lab062")
+    metadata = validate_prepared()
+    require_preflight(metadata)
+    receive_path = RAW / "rx_stream.cs8"
+    if receive_path.exists() or (RAW / "capture_result.json").exists():
+        raise FileExistsError("Аппаратный результат Lab062 уже существует")
+
+    actual_runner = runner or lab054.clock._default_command_runner
+    process_starter = process_starter or lab054.clock._default_process_starter
+    process_checker = process_checker or lab054.check_processes
+    clock_checker = clock_checker or hardware.common_clock
+    save_new(RAW / "hardware_attempt.json", {
+        "lab": "Lab062", "authorized_once": True, "automatic_retry": False,
+        "point": asdict(POINT), "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"],
+    })
+
+    result = {
+        "lab": "Lab062", "stage": "SINGLE_RF_CAPTURE", "passed": False,
+        "rf_tx_count": 0, "automatic_tx_repeats": 0,
+        "point": asdict(POINT), "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"],
+    }
+    guard = lab054.clock.TransmitGuard()
+    process = None
+    clock_started = False
+    try:
+        before = process_checker()
+        result["process_before"] = before.to_dict()
+        lab054.require_clear(before)
+        result["inventory"] = lab054.phy.lab045._verify_device_inventory(actual_runner)
+        clock_started = True
+        result["clock"] = clock_checker(
+            POINT, actual_runner, guard, sleep_function=sleep_function
+        )
+        hardware.require_clock_pass(result["clock"])
+
+        process = process_starter(
+            transfer_command(receive_path, RX_SAMPLES),
+            RAW / "rx_stdout.txt", RAW / "rx_stderr.txt",
+        )
+        sleep_function(RX_LEAD_SECONDS)
+        if process.poll() is not None:
+            raise RuntimeError("RX завершился до TX")
+        before_tx = hardware.receive_level(receive_path, tail_samples=65536)
+        before_tx.pop("symbol_energy_code2_seconds", None)
+        result["rx_level_before_tx"] = before_tx
+        if before_tx["saturation_detected"]:
+            raise RuntimeError("RX clipping до TX; RF TX = 0")
+
+        guard.register_transmit()
+        result["rf_tx_count"] = guard.transmit_calls
+        transmitted = actual_runner(transfer_command(
+            RAW / "tx_stream.cs8", metadata["tx_samples"], transmit=True
+        ))
+        save_new(RAW / "tx_process_result.json", {
+            "returncode": transmitted.returncode,
+            "stdout": transmitted.stdout or "", "stderr": transmitted.stderr or "",
+        })
+        if transmitted.returncode:
+            raise RuntimeError("Единственный TX завершился ошибкой; повтор запрещён")
+        if process.wait(RX_SECONDS + 10):
+            raise RuntimeError("RX завершился ошибкой; передача уже выполнена, повтор запрещён")
+        process.close_logs()
+
+        result["rx_samples"] = receive_path.stat().st_size // 2
+        result["rx_bytes"] = receive_path.stat().st_size
+        result["rx_duration_seconds"] = result["rx_samples"] / MODE.sample_rate_hz
+        if result["rx_bytes"] != RX_SAMPLES * 2:
+            raise RuntimeError("Повреждённая длина RX; передача уже выполнена, повтор запрещён")
+        rx_log = "".join(
+            (RAW / f"rx_{kind}.txt").read_text(encoding="utf-8")
+            for kind in ("stdout", "stderr")
+        )
+        tx_log = (transmitted.stdout or "") + (transmitted.stderr or "")
+        if not hardware.clean_counter_log(rx_log, "overrun"):
+            raise RuntimeError("RX overrun или неоднозначный счётчик; повтор запрещён")
+        if not hardware.clean_counter_log(tx_log, "underrun"):
+            raise RuntimeError("TX underrun или неоднозначный счётчик; повтор запрещён")
+        result["rx_overruns"] = 0
+        result["tx_underruns"] = 0
+        result["rx_sha256"] = sha256(receive_path)
+        level = hardware.receive_level(receive_path)
+        level.pop("symbol_energy_code2_seconds", None)
+        result["rx_level"] = level
+        result["rx_clipping"] = bool(level["saturation_detected"])
+        if result["rx_clipping"]:
+            raise RuntimeError("RX clipping в записи; передача уже выполнена, повтор запрещён")
+        result["passed"] = True
+    except Exception as error:
+        result["error"] = str(error)
+        raise
+    finally:
+        errors = []
+        if process is not None:
+            try:
+                process.terminate()
+            except Exception as error:
+                errors.append(str(error))
+        if clock_started:
+            errors.extend(lab054.disable_clock_outputs(actual_runner))
+        try:
+            after = process_checker()
+            result["process_after"] = after.to_dict()
+            lab054.require_clear(after)
+        except Exception as error:
+            errors.append(str(error))
+        result["cleanup_errors"] = errors
+        result["passed"] = result["passed"] and not errors
+        save_new(RAW / "capture_result.json", result)
+        OUTPUT.mkdir(parents=True, exist_ok=True)
+        (OUTPUT / "capture_result.json").write_text(
+            json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8"
+        )
+    if not result["passed"]:
+        raise RuntimeError("Lab062 RF-сеанс завершён с ошибкой; повтор запрещён")
+    return result
+
+
+def run_functional_tests() -> None:
+    assert MODE.samples_per_symbol == 16
+    assert len(plans()) == 16
+    assert all(len(frame.plan.payload) == 256 for frame in plans())
+    assert "-t" not in transfer_command("NUL", 65536)
+    assert "-t" in transfer_command("NUL", 65536, transmit=True)
+
+
+def main() -> None:
+    import argparse
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--stage", choices=("prepare", "software", "preflight", "capture"), required=True)
+    parser.add_argument("--authorize-one-rf", action="store_true")
+    arguments = parser.parse_args()
+    if arguments.stage == "prepare":
+        result = prepare()
+    elif arguments.stage == "software":
+        result = software_gate()
+    elif arguments.stage == "preflight":
+        result = preflight()
+    else:
+        result = capture_once(authorization=arguments.authorize_one_rf)
+    print(json.dumps(result, ensure_ascii=False, indent=2))
+    print("RF TX = 0")
+
+
+if __name__ == "__main__":
+    main()

experiments/lab062_rf_analysis.py

@@ -0,0 +1,330 @@
+"""Lab062: офлайн-анализ единственной сохранённой RX IQ-записи."""
+
+from __future__ import annotations
+
+from collections import Counter
+import csv
+import json
+import math
+from pathlib import Path
+import re
+import sys
+
+if __package__ in (None, ""):
+    sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+import numpy as np
+from scipy import signal
+
+from experiments import lab058_abab_symbol_quality as lab058
+from experiments import lab062_full_packet_rf_preflight as lab062
+
+
+def counter_values(text: str, name: str) -> list[int]:
+    pattern = re.compile(rf"(?<![\w.+-])(\d+)\s+(?:(?:rx|tx)\s+)?{name}s?\b", re.I)
+    return [int(match.group(1)) for match in pattern.finditer(text)]
+
+
+def locate_burst(tx: lab058.Cs8File, rx: lab058.Cs8File, frame_samples: int) -> dict:
+    """Найти начало по первому полному пакету, не передавая границы декодеру."""
+    stride = lab062.MODE.samples_per_symbol
+    tx_raw = np.memmap(tx.path, np.int8, mode="r")
+    rx_raw = np.memmap(rx.path, np.int8, mode="r")
+    tx_decimated = (
+        tx_raw[0:2 * frame_samples:2 * stride].astype(np.float32)
+        + 1j * tx_raw[1:2 * frame_samples:2 * stride].astype(np.float32)
+    )
+    rx_decimated = (
+        rx_raw[0::2 * stride].astype(np.float32)
+        + 1j * rx_raw[1::2 * stride].astype(np.float32)
+    )
+    tx_decimated -= np.mean(tx_decimated)
+    rx_decimated -= np.mean(rx_decimated)
+    correlation = signal.correlate(rx_decimated, tx_decimated, mode="valid", method="fft")
+    coarse = int(np.argmax(abs(correlation))) * stride
+    first = tx.read(0, frame_samples).astype(np.complex128)
+    first -= np.mean(first)
+    candidates = range(max(0, coarse - 2 * stride), min(rx.size - frame_samples, coarse + 2 * stride) + 1)
+    values = []
+    for start in candidates:
+        received = rx.read(start, frame_samples).astype(np.complex128)
+        received -= np.mean(received)
+        values.append(abs(np.vdot(first, received)))
+    offset = int(np.argmax(values))
+    start = candidates.start + offset
+    median = float(np.median(abs(correlation)))
+    return {
+        "rx_start_sample": start,
+        "coarse_start_sample": coarse,
+        "correlation_peak_to_median": float(abs(correlation[coarse // stride]) / max(median, 1e-30)),
+        "method": "TX first-frame correlation; used only after strict receiver verdict",
+    }
+
+
+def strict_row(rows: list[dict], nominal: int) -> dict | None:
+    if not rows:
+        return None
+    selected = min(rows, key=lambda row: abs(row["absolute_refined"] - nominal))
+    return selected if abs(selected["absolute_refined"] - nominal) <= 64 else None
+
+
+def diagnostic_symbol_rows(rx: lab058.Cs8File, start: int, frame_samples: int,
+                           mode: str) -> list[dict]:
+    processor = lab062.packet_processing.PacketProcessor(carrier_tracking_mode=mode)
+    rows = []
+    for index, frame in enumerate(lab062.plans(), 1):
+        values = rx.read(start + (index - 1) * frame_samples, frame_samples).astype(np.complex64)
+        context = lab062.packet_processing.PacketMeasure()
+        token = lab062.packet_processing.CURRENT.set(context)
+        try:
+            probe = processor.extract(values, 0, frame.plan.frame_symbol_count)
+        finally:
+            lab062.packet_processing.CURRENT.reset(token)
+        expected = 2.0 * frame.plan.frame_bits.astype(np.float64) - 1.0
+        if not probe.passed or probe.normalized_real.size != expected.size:
+            rows.append({"packet_index": index, "measurable": False, "reason": probe.reason})
+            continue
+        soft = np.asarray(probe.normalized_real, dtype=np.float64)
+        errors = np.signbit(soft) != np.signbit(expected)
+        p = lab062.phy.lab045.PREAMBLE_BIT_COUNT
+        h = p + lab062.phy.lab045.PHY_HEADER_BIT_COUNT
+        traces = context.cache.get("carrier_tracking_traces", ())
+        final_frequency = None
+        if traces and len(traces[-1].frequency_hz):
+            final_frequency = float(traces[-1].frequency_hz[-1])
+        rows.append({
+            "packet_index": index,
+            "measurable": True,
+            "preamble_symbol_errors": int(np.sum(errors[:p])),
+            "header_symbol_errors": int(np.sum(errors[p:h])),
+            "payload_symbols_before_fec_errors": int(np.sum(errors[h:])),
+            "symbols": int(len(expected)),
+            "symbol_errors": int(np.sum(errors)),
+            "symbol_error_rate": float(np.mean(errors)),
+            "symbol_rms_deviation": float(np.sqrt(np.mean((soft - expected) ** 2))),
+            "initial_frequency_hz": float(probe.carrier["cfo_hz"]),
+            "t2_final_frequency_hz": final_frequency,
+            "t2_lock_status": "NOT_DEFINED_BY_IMPLEMENTATION" if mode == "t2" else "NOT_APPLICABLE",
+        })
+    return rows
+
+
+def waveform_quality(tx: lab058.Cs8File, rx: lab058.Cs8File, start: int) -> dict:
+    transmitted = tx.read(0, tx.size).astype(np.complex128)
+    received = rx.read(start, tx.size).astype(np.complex128)
+    transmitted -= np.mean(transmitted)
+    received -= np.mean(received)
+    product = received * np.conj(transmitted)
+    block = 4096
+    count = len(product) // block
+    block_values = np.mean(product[:count * block].reshape(count, block), axis=1)
+    block_times = (np.arange(count) * block + 0.5 * block) / lab062.MODE.sample_rate_hz
+    phase = np.unwrap(np.angle(block_values))
+    weights = np.maximum(abs(block_values), 1e-12)
+    design = np.column_stack((np.ones(count), block_times))
+    root = np.sqrt(weights / np.max(weights))
+    coefficients, *_ = np.linalg.lstsq(design * root[:, None], phase * root, rcond=None)
+    frequency_hz = float(coefficients[1] / (2 * np.pi))
+    times = np.arange(len(received)) / lab062.MODE.sample_rate_hz
+    corrected = received * np.exp(-2j * np.pi * frequency_hz * times)
+    gain = np.vdot(transmitted, corrected) / np.vdot(transmitted, transmitted)
+    matched = gain * transmitted
+    residual = corrected - matched
+    matched_power = float(np.mean(abs(matched) ** 2))
+    residual_power = float(np.mean(abs(residual) ** 2))
+
+    frequencies, tx_psd = signal.welch(
+        transmitted, fs=lab062.MODE.sample_rate_hz, nperseg=8192,
+        noverlap=4096, return_onesided=False,
+    )
+    _, rx_psd = signal.welch(
+        corrected, fs=lab062.MODE.sample_rate_hz, nperseg=8192,
+        noverlap=4096, return_onesided=False,
+    )
+    _, cross = signal.csd(
+        corrected, transmitted, fs=lab062.MODE.sample_rate_hz, nperseg=8192,
+        noverlap=4096, return_onesided=False,
+    )
+    transfer = np.conj(cross) / np.maximum(tx_psd, 1e-30)
+    coherence = abs(cross) ** 2 / np.maximum(tx_psd * rx_psd, 1e-30)
+    occupied = tx_psd >= np.max(tx_psd) * 0.01
+    stable = occupied & (coherence >= 0.5)
+    gain_db = 20 * np.log10(np.maximum(abs(transfer[stable]), 1e-30))
+    return {
+        "frequency_offset_hz": frequency_hz,
+        "complex_gain": {"real": float(gain.real), "imag": float(gain.imag)},
+        "matched_component_power_code2": matched_power,
+        "residual_power_code2": residual_power,
+        "matched_residual_db": float(10 * math.log10(matched_power / residual_power)),
+        "residual_interpretation": "Contains noise, channel distortion and any TX-underrun effect; not pure noise",
+        "band_bins": int(np.sum(stable)),
+        "band_gain_nonuniformity_p95_p05_db": (
+            float(np.percentile(gain_db, 95) - np.percentile(gain_db, 5)) if gain_db.size else None
+        ),
+        "band_gain_max_min_db": float(np.ptp(gain_db)) if gain_db.size else None,
+        "median_coherence": float(np.median(coherence[stable])) if np.any(stable) else None,
+        "tx_psd_threshold_db": -20.0,
+        "coherence_threshold": 0.5,
+    }
+
+
+def lab058_quality(tx: lab058.Cs8File, rx: lab058.Cs8File, start: int,
+                   frame_samples: int) -> dict:
+    """Применить к каждому полному PHY-кадру неизменённую методику Lab058."""
+    rows = []
+    for index, frame in enumerate(lab062.plans(), 1):
+        offset = (index - 1) * frame_samples
+        transmitted = tx.read(offset, frame_samples)
+        received = rx.read(start + offset, frame_samples)
+        expected = 2.0 * frame.plan.frame_bits.astype(np.float64) - 1.0
+        metrics, _working = lab058.analyze_values(received, expected, lab062.MODE.symbol_rate)
+        channel, _arrays = lab058.channel_metrics(
+            transmitted, received, lab062.MODE.symbol_rate, metrics["oracle"]["cfo_hz"]
+        )
+        rows.append({"packet_index": index, "oracle": metrics["oracle"], "channel": channel})
+    selected = [row["oracle"]["metrics"] for row in rows]
+    errors = sum(row["errors"] for row in selected)
+    symbols = sum(row["symbols"] for row in selected)
+    matched = float(np.mean([row["matched_component_power"] for row in selected]))
+    residual = float(np.mean([row["residual_power"] for row in selected]))
+    ripple = [row["channel"]["amplitude_ripple_p95_p05_db"] for row in rows]
+    return {
+        "method": "Lab058 analyze_values/oracle validation tiles, independently per full PHY packet",
+        "packets": rows,
+        "symbol_errors": errors,
+        "symbols": symbols,
+        "symbol_error_rate": errors / symbols,
+        "evm_rms": float(math.sqrt(residual / matched)),
+        "matched_component_power": matched,
+        "residual_power": residual,
+        "matched_residual_db": float(10 * math.log10(matched / residual)),
+        "residual_interpretation": "Contains noise and unmodelled distortion; not pure noise",
+        "band_gain_nonuniformity_p95_p05_db_median": float(np.median(ripple)),
+        "band_gain_nonuniformity_p95_p05_db_min": float(np.min(ripple)),
+        "band_gain_nonuniformity_p95_p05_db_max": float(np.max(ripple)),
+    }
+
+
+def analyze() -> dict:
+    capture = json.loads((lab062.RAW / "capture_result.json").read_text(encoding="utf-8"))
+    legacy = json.loads((lab062.OUTPUT / "legacy_rf_decode.json").read_text(encoding="utf-8"))
+    t2 = json.loads((lab062.OUTPUT / "t2_rf_decode.json").read_text(encoding="utf-8"))
+    tx = lab058.Cs8File(lab062.RAW / "tx_stream.cs8")
+    rx = lab058.Cs8File(lab062.RAW / "rx_stream.cs8")
+    frame_samples = lab062.phy.frame_waveform_sample_count(lab062.plans()[0].plan, lab062.MODE)
+    location = locate_burst(tx, rx, frame_samples)
+    start = location["rx_start_sample"]
+    legacy_symbols = diagnostic_symbol_rows(rx, start, frame_samples, "legacy")
+    t2_symbols = diagnostic_symbol_rows(rx, start, frame_samples, "t2")
+
+    packet_rows = []
+    for index in range(1, lab062.PACKETS + 1):
+        nominal = start + (index - 1) * frame_samples
+        legacy_strict = strict_row(legacy["rows"], nominal)
+        t2_strict = strict_row(t2["rows"], nominal)
+        packet_rows.append({
+            "packet_index": index,
+            "nominal_rx_start": nominal,
+            "legacy": legacy_strict,
+            "t2": t2_strict,
+            "diagnostic_legacy": legacy_symbols[index - 1],
+            "diagnostic_t2": t2_symbols[index - 1],
+        })
+
+    rx_log = (lab062.RAW / "rx_stderr.txt").read_text(encoding="utf-8")
+    tx_process = json.loads((lab062.RAW / "tx_process_result.json").read_text(encoding="utf-8"))
+    tx_log = (tx_process.get("stdout") or "") + (tx_process.get("stderr") or "")
+    level = lab062.hardware.receive_level(lab062.RAW / "rx_stream.cs8")
+    level.pop("symbol_energy_code2_seconds", None)
+    quality = waveform_quality(tx, rx, start)
+    comparable_quality = lab058_quality(tx, rx, start, frame_samples)
+    all_diag = [row for row in t2_symbols if row.get("measurable")]
+    total_errors = sum(row["symbol_errors"] for row in all_diag)
+    total_symbols = sum(row["symbols"] for row in all_diag)
+    rms = math.sqrt(sum(row["symbol_rms_deviation"] ** 2 * row["symbols"] for row in all_diag) / total_symbols)
+    legacy_set = set(legacy["passed_packet_indexes"])
+    t2_set = set(t2["passed_packet_indexes"])
+    result = {
+        "lab": "Lab062",
+        "status": "RF_SESSION_INVALID_TX_UNDERRUN",
+        "rf_tx_count": capture["rf_tx_count"],
+        "automatic_tx_repeats": capture["automatic_tx_repeats"],
+        "integrity": {
+            "tx_sha256": lab062.sha256(lab062.RAW / "tx_stream.cs8"),
+            "rx_sha256": lab062.sha256(lab062.RAW / "rx_stream.cs8"),
+            "rx_samples": rx.size,
+            "rx_bytes": (lab062.RAW / "rx_stream.cs8").stat().st_size,
+            "rx_duration_seconds": rx.size / lab062.MODE.sample_rate_hz,
+            "rx_overrun_values": counter_values(rx_log, "overrun"),
+            "tx_underrun_values": counter_values(tx_log, "underrun"),
+            "rx_overruns_max": max(counter_values(rx_log, "overrun"), default=None),
+            "tx_underruns_max": max(counter_values(tx_log, "underrun"), default=None),
+            "rx_clipping": bool(level["saturation_detected"]),
+            "rx_clipped_samples_fraction": level["clipped_samples_fraction"],
+        },
+        "clock": capture["clock"],
+        "cleanup_errors": capture["cleanup_errors"],
+        "location": location,
+        "legacy": {key: value for key, value in legacy.items() if key != "rows"},
+        "t2": {key: value for key, value in t2.items() if key != "rows"},
+        "passed_by_both": sorted(legacy_set & t2_set),
+        "passed_only_by_legacy": sorted(legacy_set - t2_set),
+        "passed_only_by_t2": sorted(t2_set - legacy_set),
+        "failed_by_both": sorted(set(range(1, 17)) - legacy_set - t2_set),
+        "packet_rows": packet_rows,
+        "diagnostic_symbol_error_rate_t2": total_errors / total_symbols,
+        "symbol_rms_deviation_t2": rms,
+        "lab058_quality": comparable_quality,
+        "waveform_quality": quality,
+        "lab056_comparison": {
+            "lab056_B_oracle_symbol_error_rate": 0.03495896,
+            "lab056_B_oracle_evm_rms": 0.845350,
+            "scope": "Lab056 used a different PRBS ABAB waveform and method; values are contextual, not identical estimands",
+        },
+        "primary_result": (
+            "The sole RF session is invalid as a clean legacy-versus-T2 acceptance test because "
+            "hackrf_transfer reported one transient TX underrun; both strict modes produced 0/16."
+        ),
+        "recommended_next_single_step": (
+            "Offline localize the underrun position against packet boundaries before deciding whether a new RF lab is justified."
+        ),
+        "rf_tx_now": 0,
+        "commit": "NOT_PERFORMED", "push": "NOT_PERFORMED", "lab063": "NOT_CREATED",
+    }
+    lab062.OUTPUT.mkdir(parents=True, exist_ok=True)
+    (lab062.OUTPUT / "rf_analysis.json").write_text(
+        json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8"
+    )
+    with (lab062.OUTPUT / "packet_comparison.csv").open("w", newline="", encoding="utf-8-sig") as stream:
+        writer = csv.writer(stream)
+        writer.writerow([
+            "packet_index", "legacy_header", "legacy_fec", "legacy_crc", "legacy_output",
+            "t2_header", "t2_fec", "t2_crc", "t2_output", "preamble_errors_t2",
+            "header_errors_t2", "payload_errors_before_fec_t2", "initial_frequency_hz_t2",
+            "t2_final_frequency_hz", "t2_lock_status",
+        ])
+        for row in packet_rows:
+            legacy_row, t2_row, diagnostic = row["legacy"], row["t2"], row["diagnostic_t2"]
+            writer.writerow([
+                row["packet_index"], *(legacy_row.get(key) if legacy_row else False for key in ("header", "fec", "crc", "packet_output")),
+                *(t2_row.get(key) if t2_row else False for key in ("header", "fec", "crc", "packet_output")),
+                diagnostic.get("preamble_symbol_errors"), diagnostic.get("header_symbol_errors"),
+                diagnostic.get("payload_symbols_before_fec_errors"), diagnostic.get("initial_frequency_hz"),
+                diagnostic.get("t2_final_frequency_hz"), diagnostic.get("t2_lock_status"),
+            ])
+    return result
+
+
+def main() -> None:
+    result = analyze()
+    concise = {key: result[key] for key in (
+        "status", "rf_tx_count", "automatic_tx_repeats", "integrity", "legacy", "t2",
+        "passed_by_both", "passed_only_by_legacy", "passed_only_by_t2", "failed_by_both",
+        "diagnostic_symbol_error_rate_t2", "symbol_rms_deviation_t2", "waveform_quality",
+        "primary_result", "recommended_next_single_step", "rf_tx_now",
+    )}
+    print(json.dumps(concise, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()

experiments/lab063_tx_underrun_localization.py

@@ -0,0 +1,567 @@
+"""Lab063: офлайн-локализация TX underrun и ухудшения качества Lab062."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+import csv
+import json
+import math
+from pathlib import Path
+import re
+import sys
+
+if __package__ in (None, ""):
+    sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy import signal
+
+from experiments import lab058_abab_symbol_quality as lab058
+from experiments import lab062_full_packet_rf_preflight as lab062
+
+
+ROOT = Path(__file__).resolve().parents[1]
+RAW = ROOT / "data/raw/lab062"
+LAB062 = ROOT / "data/processed/lab062"
+OUTPUT = ROOT / "data/processed/lab063"
+TX_PATH = RAW / "tx_stream.cs8"
+RX_PATH = RAW / "rx_stream.cs8"
+FRAME_SAMPLES = 92_256
+PACKETS = 16
+SAMPLE_RATE = 8_000_000
+SYMBOL_RATE = 500_000
+WINDOW_SYMBOLS = 512
+WINDOW_SAMPLES = WINDOW_SYMBOLS * (SAMPLE_RATE // SYMBOL_RATE)
+STEP_SYMBOLS = 256
+STEP_SAMPLES = STEP_SYMBOLS * (SAMPLE_RATE // SYMBOL_RATE)
+SEARCH_MARGIN_SAMPLES = 12_000
+MIN_LOCAL_CORRELATION = 0.15
+RELIABLE_PACKET_START = 24_000
+RELIABLE_PACKET_END = 86_000
+LAB056_B = {
+    "symbol_error_rate": 0.03495896,
+    "evm_rms": 0.845350,
+    "matched_residual_db": 1.464846,
+    "band_ripple_db": 5.471382,
+}
+
+
+@dataclass(frozen=True)
+class ArrayReader:
+    """Минимальный интерфейс чтения для автономных проверок алгоритма."""
+
+    values: np.ndarray
+
+    @property
+    def size(self) -> int:
+        return int(len(self.values))
+
+    def read(self, start: int, count: int) -> np.ndarray:
+        return np.asarray(self.values[start:start + count], dtype=np.complex64)
+
+
+def underrun_scale(byte_count: int = 16_672) -> dict:
+    if type(byte_count) is not int or byte_count <= 0 or byte_count % 2:
+        raise ValueError("Размер cs8 underrun должен быть положительным чётным числом байт")
+    samples = byte_count // 2
+    duration = samples / SAMPLE_RATE
+    symbols = samples * SYMBOL_RATE / SAMPLE_RATE
+    return {
+        "bytes": byte_count,
+        "complex_samples": samples,
+        "duration_seconds": duration,
+        "duration_milliseconds": duration * 1000,
+        "symbols": symbols,
+        "fraction_of_packet": samples / FRAME_SAMPLES,
+        "percent_of_packet": 100 * samples / FRAME_SAMPLES,
+        "interpretation": "Scale only; RX does not prove that this many RF samples were lost or repeated",
+    }
+
+
+def actual_gap() -> dict:
+    metadata = json.loads((RAW / "tx_metadata.json").read_text(encoding="utf-8"))
+    total = int(metadata["tx_samples"])
+    expected = FRAME_SAMPLES * PACKETS
+    return {
+        "tx_samples": total,
+        "packets": PACKETS,
+        "packet_waveform_samples": FRAME_SAMPLES,
+        "packet_product_samples": expected,
+        "identity_confirmed": total == expected,
+        "additional_inter_packet_gap_samples": total - expected,
+        "additional_inter_packet_gap_seconds": (total - expected) / SAMPLE_RATE,
+        "actual": "0 additional samples (no planned 5 ms gaps)",
+        "reason": (
+            "IMPLEMENTATION_OMISSION: prepare() writes the 16 complete packet waveforms "
+            "back-to-back and has no gap parameter or zero-fill operation"
+        ),
+        "packet_internal_note": "Each packet waveform still contains its own guards and RRC tails",
+    }
+
+
+def normalized_match(transmitted: np.ndarray, search: np.ndarray) -> dict:
+    """Найти локальный участок RX с нормировкой по AC-энергии каждого положения."""
+    transmitted = np.asarray(transmitted, dtype=np.complex128)
+    search = np.asarray(search, dtype=np.complex128)
+    if transmitted.ndim != 1 or search.ndim != 1 or len(search) < len(transmitted):
+        raise ValueError("Нужны одномерные TX и более длинное RX-окно")
+    centered_tx = transmitted - np.mean(transmitted)
+    tx_energy = float(np.vdot(centered_tx, centered_tx).real)
+    if tx_energy <= 0:
+        raise ValueError("TX-окно не содержит AC-энергии")
+    correlation = signal.correlate(search, centered_tx, mode="valid", method="fft")
+    count = len(centered_tx)
+    kernel = np.ones(count, dtype=np.float64)
+    sums = signal.fftconvolve(search, kernel, mode="valid")
+    powers = signal.fftconvolve(abs(search) ** 2, kernel, mode="valid")
+    rx_energies = np.maximum(powers - abs(sums) ** 2 / count, 0.0)
+    normalized = abs(correlation) / np.sqrt(np.maximum(tx_energy * rx_energies, 1e-30))
+    best = int(np.argmax(normalized))
+    centered_rx = search[best:best + count] - np.mean(search[best:best + count])
+    gain = complex(np.vdot(centered_tx, centered_rx) / tx_energy)
+    residual = centered_rx - gain * centered_tx
+    return {
+        "offset": best,
+        "normalized_correlation": float(normalized[best]),
+        "gain": gain,
+        "gain_amplitude": float(abs(gain)),
+        "phase_rad": float(np.angle(gain)),
+        "residual_power": float(np.mean(abs(residual) ** 2)),
+        "rx_ac_power": float(np.mean(abs(centered_rx) ** 2)),
+    }
+
+
+def track_alignment(tx, rx, rx_start: int, *, frame_samples: int = FRAME_SAMPLES,
+                    window_samples: int = WINDOW_SAMPLES,
+                    step_samples: int = STEP_SAMPLES,
+                    search_margin: int = SEARCH_MARGIN_SAMPLES,
+                    reliable_packet_start: int = RELIABLE_PACKET_START,
+                    reliable_packet_end: int = RELIABLE_PACKET_END) -> list[dict]:
+    """Сопоставить короткие перекрывающиеся TX-окна с RX независимо по времени."""
+    rows = []
+    for tx_start in range(0, tx.size - window_samples + 1, step_samples):
+        expected_rx = rx_start + tx_start
+        low = max(0, expected_rx - search_margin)
+        high = min(rx.size, expected_rx + search_margin + window_samples)
+        match = normalized_match(tx.read(tx_start, window_samples), rx.read(low, high - low))
+        matched_rx = low + match.pop("offset")
+        packet = min(PACKETS, tx_start // frame_samples + 1)
+        position_inside_packet = tx_start - (packet - 1) * frame_samples
+        inside_reliable_region = reliable_packet_start <= position_inside_packet <= reliable_packet_end
+        correlation_above_threshold = match["normalized_correlation"] >= MIN_LOCAL_CORRELATION
+        rows.append({
+            "window_index": len(rows),
+            "tx_sample": tx_start,
+            "rx_sample": matched_rx,
+            "time_seconds": tx_start / SAMPLE_RATE,
+            "local_delay_samples": matched_rx - expected_rx,
+            "packet_index": packet,
+            "position_inside_packet_samples": position_inside_packet,
+            "inside_reliable_region": inside_reliable_region,
+            "correlation_above_threshold": correlation_above_threshold,
+            "reliable_for_delay": inside_reliable_region and correlation_above_threshold,
+            **match,
+        })
+    return rows
+
+
+def alignment_verdict(rows: list[dict], expected_jump: int) -> dict:
+    valid = [row for row in rows if row.get("reliable_for_delay") is True]
+    internal_low_correlation = [
+        row for row in rows
+        if row.get("inside_reliable_region") is True
+        and row.get("correlation_above_threshold") is False
+    ]
+    jumps = []
+    for left, right in zip(valid, valid[1:]):
+        change = right["local_delay_samples"] - left["local_delay_samples"]
+        if abs(change) >= max(256, expected_jump // 4):
+            jumps.append({
+                "left_window": left["window_index"], "right_window": right["window_index"],
+                "tx_sample": right["tx_sample"], "rx_sample": right["rx_sample"],
+                "packet_index": right["packet_index"],
+                "position_inside_packet_samples": right["position_inside_packet_samples"],
+                "delay_change_samples": change,
+                "left_correlation": left["normalized_correlation"],
+                "right_correlation": right["normalized_correlation"],
+            })
+    delays = np.asarray([row["local_delay_samples"] for row in valid], dtype=np.float64)
+    correlations = np.asarray([row["normalized_correlation"] for row in rows], dtype=np.float64)
+    return {
+        "valid_windows": len(valid),
+        "total_windows": len(rows),
+        "minimum_correlation": float(np.min(correlations)),
+        "median_correlation": float(np.median(correlations)),
+        "maximum_correlation": float(np.max(correlations)),
+        "delay_min_samples": int(np.min(delays)) if len(delays) else None,
+        "delay_median_samples": float(np.median(delays)) if len(delays) else None,
+        "delay_max_samples": int(np.max(delays)) if len(delays) else None,
+        "jump_candidates": jumps,
+        "local_delay_discontinuity": bool(jumps),
+        "local_delay_discontinuity_scope": (
+            f"NO_IN_{len(valid)}_RELIABLE_WINDOWS; "
+            f"UNDETERMINED_IN_{len(internal_low_correlation)}_INTERNAL_LOW_CORRELATION_WINDOWS"
+            if not jumps else "DETECTED_IN_RELIABLE_WINDOWS"
+        ),
+        "underrun_location": "NOT_LOCALIZED_FROM_RX" if not jumps else jumps[0],
+        "reliable_region_inside_packet_samples": [RELIABLE_PACKET_START, RELIABLE_PACKET_END],
+        "correlation_threshold": MIN_LOCAL_CORRELATION,
+        "internal_low_correlation_windows": {
+            "count": len(internal_low_correlation),
+            "packet_counts": {
+                str(packet): sum(row["packet_index"] == packet for row in internal_low_correlation)
+                for packet in sorted({row["packet_index"] for row in internal_low_correlation})
+            },
+            "windows": [
+                {
+                    "window_index": row["window_index"],
+                    "packet_index": row["packet_index"],
+                    "tx_sample": row["tx_sample"],
+                    "rx_sample_selected_but_not_used_for_delay_verdict": row["rx_sample"],
+                    "position_inside_packet_samples": row["position_inside_packet_samples"],
+                    "normalized_correlation": row["normalized_correlation"],
+                }
+                for row in internal_low_correlation
+            ],
+            "interpretation": (
+                "Delay is not established in these windows; low correlation is itself a local anomaly, "
+                "but it does not identify an underrun without a reliable timing discontinuity"
+            ),
+        },
+        "excluded_region_reason": (
+            "Packet edges and repeated PRBS preamble have correlation aliases spaced by 2032 samples; "
+            "22 additional internal windows are below the 0.15 correlation threshold. All are retained "
+            "in CSV, and delay is not asserted for any excluded window"
+        ),
+    }
+
+
+def moments(values: np.ndarray) -> dict:
+    values = np.asarray(values)
+    mean = complex(np.mean(values, dtype=np.complex128))
+    power = float(np.mean(abs(values.astype(np.complex128)) ** 2))
+    ac_power = max(0.0, power - abs(mean) ** 2)
+    return {
+        "raw_power_code2": power,
+        "rms_full_iq_code": math.sqrt(power),
+        "mean_i": float(mean.real), "mean_q": float(mean.imag),
+        "ac_power_code2": ac_power, "ac_rms_code": math.sqrt(ac_power),
+        "max_abs_i": float(np.max(abs(values.real))),
+        "max_abs_q": float(np.max(abs(values.imag))),
+        "max_complex_magnitude": float(np.max(abs(values))),
+    }
+
+
+def packet_quality(tx, rx, rx_start: int, background_ac_power: float,
+                   lab062_analysis: dict, alignment: list[dict]) -> list[dict]:
+    rows = []
+    physical = lab062_analysis["lab058_quality"]["packets"]
+    for index in range(1, PACKETS + 1):
+        values = rx.read(rx_start + (index - 1) * FRAME_SAMPLES, FRAME_SAMPLES)
+        level = moments(values)
+        metrics = physical[index - 1]["oracle"]["metrics"]
+        channel = physical[index - 1]["channel"]
+        local = [row for row in alignment if row["packet_index"] == index and row["reliable_for_delay"]]
+        phases = np.unwrap([row["phase_rad"] for row in local]) if local else np.empty(0)
+        row = {
+            "packet_index": index,
+            **level,
+            "background_ac_power_code2": background_ac_power,
+            "background_subtracted_useful_power_code2": max(0.0, level["ac_power_code2"] - background_ac_power),
+            "symbol_error_rate": metrics["ber"],
+            "symbol_rms_deviation": metrics["evm_rms"],
+            "matched_component_power": metrics["matched_component_power"],
+            "residual_power": metrics["residual_power"],
+            "matched_residual_db": metrics["matched_residual_db"],
+            "band_gain_nonuniformity_db": channel["amplitude_ripple_p95_p05_db"],
+            "initial_frequency_hz": physical[index - 1]["oracle"]["cfo_hz"],
+            "diagnostic_residual_phase_error_rad": channel["residual_phase_ripple_p95_p05_rad"],
+            "local_delay_median_samples": float(np.median([item["local_delay_samples"] for item in local])),
+            "local_delay_min_samples": int(min(item["local_delay_samples"] for item in local)),
+            "local_delay_max_samples": int(max(item["local_delay_samples"] for item in local)),
+            "local_correlation_median": float(np.median([item["normalized_correlation"] for item in local])),
+            "local_correlation_min": float(min(item["normalized_correlation"] for item in local)),
+            "local_gain_amplitude_median": float(np.median([item["gain_amplitude"] for item in local])),
+            "local_phase_unwrapped_span_rad": float(np.ptp(phases)) if len(phases) else None,
+            "ser_minus_lab056_b": metrics["ber"] - LAB056_B["symbol_error_rate"],
+            "evm_minus_lab056_b": metrics["evm_rms"] - LAB056_B["evm_rms"],
+            "matched_residual_minus_lab056_b_db": metrics["matched_residual_db"] - LAB056_B["matched_residual_db"],
+            "ripple_minus_lab056_b_db": channel["amplitude_ripple_p95_p05_db"] - LAB056_B["band_ripple_db"],
+        }
+        rows.append(row)
+    return rows
+
+
+def group_trends(rows: list[dict]) -> list[dict]:
+    result = []
+    for low in (1, 5, 9, 13):
+        selected = rows[low - 1:low + 3]
+        result.append({
+            "packets": f"{low}-{low + 3}",
+            "useful_power_mean": float(np.mean([row["background_subtracted_useful_power_code2"] for row in selected])),
+            "symbol_error_rate_mean": float(np.mean([row["symbol_error_rate"] for row in selected])),
+            "symbol_rms_deviation_mean": float(np.mean([row["symbol_rms_deviation"] for row in selected])),
+            "matched_component_power_mean": float(np.mean([row["matched_component_power"] for row in selected])),
+            "residual_power_mean": float(np.mean([row["residual_power"] for row in selected])),
+            "matched_residual_db_mean": float(np.mean([row["matched_residual_db"] for row in selected])),
+            "initial_frequency_hz_mean": float(np.mean([row["initial_frequency_hz"] for row in selected])),
+            "diagnostic_residual_phase_error_rad_mean": float(np.mean(
+                [row["diagnostic_residual_phase_error_rad"] for row in selected]
+            )),
+            "local_phase_unwrapped_span_rad_mean": float(np.mean(
+                [row["local_phase_unwrapped_span_rad"] for row in selected]
+            )),
+            "local_gain_amplitude_median": float(np.median([row["local_gain_amplitude_median"] for row in selected])),
+        })
+    return result
+
+
+def classify(packet_rows: list[dict], alignment: dict) -> dict:
+    worse = [
+        row for row in packet_rows
+        if row["symbol_error_rate"] > LAB056_B["symbol_error_rate"]
+        and row["symbol_rms_deviation"] > LAB056_B["evm_rms"]
+        and row["matched_residual_db"] < LAB056_B["matched_residual_db"]
+    ]
+    global_degradation = len(worse) >= 12
+    discontinuity = alignment["local_delay_discontinuity"]
+    if discontinuity and global_degradation:
+        distribution, primary = "MIXED", "PARTIALLY_LOCALIZED"
+    elif discontinuity:
+        distribution, primary = "LOCALIZED", "PARTIALLY_LOCALIZED"
+    elif global_degradation:
+        distribution, primary = "GLOBAL", "PARTIALLY_LOCALIZED"
+    else:
+        distribution, primary = "NOT_LOCALIZED", "NOT_LOCALIZED"
+    return {
+        "quality_distribution": distribution,
+        "primary_cause_status": primary,
+        "packets_worse_than_lab056_on_ser_evm_and_matched_residual": [row["packet_index"] for row in worse],
+        "global_degradation_rule": "at least 12/16 packets worse than Lab056 B on SER, EVM and matched/residual",
+        "global_degradation": global_degradation,
+        "local_delay_discontinuity": discontinuity,
+    }
+
+
+def write_csv(path: Path, rows: list[dict]) -> None:
+    with path.open("w", newline="", encoding="utf-8-sig") as stream:
+        writer = csv.DictWriter(stream, fieldnames=list(rows[0]))
+        writer.writeheader()
+        for row in rows:
+            writer.writerow({key: (json.dumps(value) if isinstance(value, (dict, list)) else value)
+                             for key, value in row.items()})
+
+
+def plots(alignment: list[dict], packets: list[dict]) -> None:
+    OUTPUT.mkdir(parents=True, exist_ok=True)
+    time_ms = np.asarray([row["time_seconds"] * 1000 for row in alignment])
+    packet_indexes = np.arange(1, PACKETS + 1)
+
+    def line(name: str, values, ylabel: str, title: str) -> None:
+        figure, axis = plt.subplots(figsize=(9, 4.5))
+        axis.plot(time_ms, values, linewidth=1.2)
+        axis.set(xlabel="Время TX, мс", ylabel=ylabel, title=title)
+        axis.grid(True, alpha=0.3); figure.tight_layout()
+        figure.savefig(OUTPUT / name, dpi=160); plt.close(figure)
+
+    figure, axis = plt.subplots(figsize=(9, 4.5))
+    unreliable = [row for row in alignment if not row["reliable_for_delay"]]
+    reliable = [row for row in alignment if row["reliable_for_delay"]]
+    axis.scatter([row["time_seconds"] * 1000 for row in unreliable],
+                 [row["local_delay_samples"] for row in unreliable], s=7, alpha=0.25,
+                 label="исключено: края, преамбула или низкая корреляция")
+    axis.plot([row["time_seconds"] * 1000 for row in reliable],
+              [row["local_delay_samples"] for row in reliable], linewidth=1.2,
+              label="надёжная внутренняя часть")
+    axis.set(xlabel="Время TX, мс", ylabel="Локальная задержка, отсчёты",
+             title="Локальная временная привязка TX и RX")
+    axis.grid(True, alpha=0.3); axis.legend(); figure.tight_layout()
+    figure.savefig(OUTPUT / "local_delay_vs_time.png", dpi=160); plt.close(figure)
+    line("normalized_correlation_vs_time.png", [row["normalized_correlation"] for row in alignment],
+         "Нормированная корреляция", "Устойчивость локального сопоставления")
+    reliable_time_ms = np.asarray([row["time_seconds"] * 1000 for row in reliable])
+    figure, axis = plt.subplots(figsize=(9, 4.5))
+    axis.plot(reliable_time_ms, [row["gain_amplitude"] for row in reliable], linewidth=1.2)
+    axis.set(xlabel="Время TX, мс", ylabel="|h|, коды RX / код TX",
+             title="Локальная амплитуда канала в надёжных окнах")
+    axis.grid(True, alpha=0.3); figure.tight_layout()
+    figure.savefig(OUTPUT / "gain_vs_time.png", dpi=160); plt.close(figure)
+    figure, axis = plt.subplots(figsize=(9, 4.5))
+    phase = np.unwrap([row["phase_rad"] for row in reliable])
+    axis.plot(reliable_time_ms, phase, linewidth=1.2)
+    axis.set(xlabel="Время TX, мс", ylabel="Развёрнутая фаза, рад",
+             title="Локальная фаза канала в надёжных окнах")
+    axis.grid(True, alpha=0.3); figure.tight_layout()
+    figure.savefig(OUTPUT / "phase_vs_time.png", dpi=160); plt.close(figure)
+
+    def bars(name: str, values, ylabel: str, title: str, baseline=None) -> None:
+        figure, axis = plt.subplots(figsize=(9, 4.5))
+        axis.bar(packet_indexes, values)
+        if baseline is not None:
+            axis.axhline(baseline, color="tab:red", linestyle="--", label="Lab056 B")
+            axis.legend()
+        axis.set(xlabel="Номер пакета", ylabel=ylabel, title=title, xticks=packet_indexes)
+        axis.grid(True, axis="y", alpha=0.3); figure.tight_layout()
+        figure.savefig(OUTPUT / name, dpi=160); plt.close(figure)
+
+    bars("received_power_by_packet.png", [row["background_subtracted_useful_power_code2"] for row in packets],
+         "Полезная AC-мощность, код²", "Принятая мощность по пакетам")
+    bars("symbol_error_rate_by_packet.png", [100 * row["symbol_error_rate"] for row in packets],
+         "Ошибочные символы, %", "Диагностическая SER по пакетам", 100 * LAB056_B["symbol_error_rate"])
+    bars("matched_residual_by_packet.png", [row["matched_residual_db"] for row in packets],
+         "Matched/residual, дБ", "Полезная согласованная составляющая к остатку", LAB056_B["matched_residual_db"])
+
+    figure, axes = plt.subplots(2, 2, figsize=(11, 7))
+    comparisons = [
+        ("SER, %", [100 * row["symbol_error_rate"] for row in packets], 100 * LAB056_B["symbol_error_rate"]),
+        ("EVM RMS", [row["symbol_rms_deviation"] for row in packets], LAB056_B["evm_rms"]),
+        ("Matched/residual, дБ", [row["matched_residual_db"] for row in packets], LAB056_B["matched_residual_db"]),
+        ("Неравномерность, дБ", [row["band_gain_nonuniformity_db"] for row in packets], LAB056_B["band_ripple_db"]),
+    ]
+    for axis, (label, values, baseline) in zip(axes.flat, comparisons):
+        axis.bar(packet_indexes, values); axis.axhline(baseline, color="tab:red", linestyle="--")
+        axis.set(xlabel="Пакет", ylabel=label, xticks=packet_indexes); axis.grid(True, axis="y", alpha=0.3)
+    figure.suptitle("Lab056 B и пакеты Lab062"); figure.tight_layout()
+    figure.savefig(OUTPUT / "lab056_b_vs_lab062_packets.png", dpi=160); plt.close(figure)
+
+
+def local_counter_semantics() -> dict:
+    binary = Path(r"C:\Users\user\Tools\HackRF\Library\bin\hackrf_transfer.exe")
+    source_candidates = list(binary.parent.parent.rglob("hackrf_transfer.c")) if binary.parent.parent.exists() else []
+    return {
+        "binary_path": str(binary), "binary_exists": binary.exists(),
+        "local_source_files": [str(path) for path in source_candidates],
+        "progress_line": "1 underruns, longest 16672 bytes",
+        "final_line": "0 underruns, longest 0 bytes",
+        "counter_semantics": "NOT_ESTABLISHED" if not source_candidates else "LOCAL_SOURCE_REQUIRES_REVIEW",
+        "note": "No local source or documentation was found that explains the reset between progress and final counters",
+    }
+
+
+def run() -> dict:
+    OUTPUT.mkdir(parents=True, exist_ok=True)
+    lab062_analysis = json.loads((LAB062 / "rf_analysis.json").read_text(encoding="utf-8"))
+    if lab062_analysis["status"] != "RF_SESSION_INVALID_TX_UNDERRUN":
+        raise RuntimeError("Lab062 must remain INVALID_TX_UNDERRUN")
+    tx, rx = lab058.Cs8File(TX_PATH), lab058.Cs8File(RX_PATH)
+    rx_start = int(lab062_analysis["location"]["rx_start_sample"])
+    gap = actual_gap()
+    if not gap["identity_confirmed"] or gap["additional_inter_packet_gap_samples"] != 0:
+        raise RuntimeError("Unexpected Lab062 TX accounting")
+    scale = underrun_scale()
+    alignment_rows = track_alignment(tx, rx, rx_start)
+    alignment = alignment_verdict(alignment_rows, scale["complex_samples"])
+
+    before = moments(rx.read(rx_start - FRAME_SAMPLES, FRAME_SAMPLES))
+    after = moments(rx.read(rx_start + tx.size, FRAME_SAMPLES))
+    background_ac_power = 0.5 * (before["ac_power_code2"] + after["ac_power_code2"])
+    packet_rows = packet_quality(tx, rx, rx_start, background_ac_power, lab062_analysis, alignment_rows)
+    trends = group_trends(packet_rows)
+    classification = classify(packet_rows, alignment)
+    most_affected = sorted(
+        packet_rows,
+        key=lambda row: (row["symbol_error_rate"], row["symbol_rms_deviation"], -row["matched_residual_db"]),
+        reverse=True,
+    )[:4]
+    selected = {3, 4, 12, 14}
+    special = [row for row in packet_rows if row["packet_index"] in selected]
+    special_common = {
+        "packets": sorted(selected),
+        "all_have_power_drop_below_median": all(
+            row["background_subtracted_useful_power_code2"] < np.median(
+                [item["background_subtracted_useful_power_code2"] for item in packet_rows]
+            ) for row in special
+        ),
+        "all_have_correlation_below_median": all(
+            row["local_correlation_median"] < np.median([item["local_correlation_median"] for item in packet_rows])
+            for row in special
+        ),
+        "all_have_large_delay_change": all(
+            row["local_delay_max_samples"] - row["local_delay_min_samples"] >= scale["complex_samples"] // 4
+            for row in special
+        ),
+        "interpretation": "No common underrun signature unless one of all three booleans is true with localized alignment evidence",
+    }
+    result = {
+        "lab": "Lab063", "status": "COMPLETED_OFFLINE", "rf_tx": 0,
+        "hardware_queries": 0, "lab062_status_preserved": lab062_analysis["status"],
+        "lab062_commit": "f8ae6c6bfceaa21b6c08dcf55d2bff996dd0dae5",
+        "physical_device": "Auron HackRF Plus",
+        "api_firmware_identification": "HackRF One r9",
+        "integrity": {
+            "tx_sha256": lab062.sha256(TX_PATH), "rx_sha256": lab062.sha256(RX_PATH),
+            "tx_samples": tx.size, "rx_samples": rx.size,
+        },
+        "actual_inter_packet_gap": gap,
+        "tx_underrun_scale": scale,
+        "tx_underrun_log": local_counter_semantics(),
+        "background": {"before": before, "after": after, "ac_power_code2_used": background_ac_power,
+                       "preflight_ac_rms_code": 0.9854828456229909},
+        "local_alignment": alignment,
+        "packet_quality": packet_rows,
+        "group_trends": trends,
+        "special_packets_3_4_12_14": special_common,
+        "packets_most_affected": [row["packet_index"] for row in most_affected],
+        "active_rx_level": {
+            "ac_rms_min": min(row["ac_rms_code"] for row in packet_rows),
+            "ac_rms_max": max(row["ac_rms_code"] for row in packet_rows),
+            "max_abs_i_min": min(row["max_abs_i"] for row in packet_rows),
+            "max_abs_i_max": max(row["max_abs_i"] for row in packet_rows),
+            "max_abs_q_min": min(row["max_abs_q"] for row in packet_rows),
+            "max_abs_q_max": max(row["max_abs_q"] for row in packet_rows),
+            "mean_i_min": min(row["mean_i"] for row in packet_rows),
+            "mean_i_max": max(row["mean_i"] for row in packet_rows),
+            "mean_q_min": min(row["mean_q"] for row in packet_rows),
+            "mean_q_max": max(row["mean_q"] for row in packet_rows),
+            "local_gain_amplitude_median_min": min(row["local_gain_amplitude_median"] for row in packet_rows),
+            "local_gain_amplitude_median_max": max(row["local_gain_amplitude_median"] for row in packet_rows),
+            "analog_overload": "LESS_LIKELY_FROM_DIGITAL_LEVEL_BUT_NOT_EXCLUDED_WITHOUT_INSTRUMENT",
+        },
+        "lab056_comparison": {"reference": LAB056_B,
+                              "packets_worse_on_all_three_core_metrics": classification["packets_worse_than_lab056_on_ser_evm_and_matched_residual"]},
+        **classification,
+        "next_single_step": (
+            "Before another TX, investigate the low active RX level, gain/geometry and possible analogue compression; "
+            "also change TX streaming/logging so any underrun is unambiguous. Do not change RF parameters yet."
+            if classification["quality_distribution"] == "GLOBAL" else
+            "Improve TX streaming and underrun logging before any separately authorized repeat."
+        ),
+        "lab063_commit": "NOT_PERFORMED", "push": "NOT_PERFORMED", "lab064": "NOT_CREATED",
+    }
+    write_csv(OUTPUT / "local_alignment.csv", alignment_rows)
+    write_csv(OUTPUT / "packet_quality.csv", packet_rows)
+    plots(alignment_rows, packet_rows)
+    (OUTPUT / "summary.json").write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8")
+    return result
+
+
+def run_functional_tests() -> None:
+    scale = underrun_scale()
+    assert scale["complex_samples"] == 8336
+    assert abs(scale["duration_milliseconds"] - 1.042) < 1e-12
+    assert scale["symbols"] == 521.0
+    transmitted = np.exp(1j * np.arange(128) * 0.31)
+    search = np.concatenate((np.zeros(37, complex), (0.4 + 0.2j) * transmitted, np.zeros(19, complex)))
+    result = normalized_match(transmitted, search)
+    assert result["offset"] == 37 and result["normalized_correlation"] > 0.999999
+
+
+def main() -> None:
+    result = run()
+    print(json.dumps({
+        "status": result["status"],
+        "actual_inter_packet_gap": result["actual_inter_packet_gap"],
+        "tx_underrun_scale": result["tx_underrun_scale"],
+        "local_alignment": result["local_alignment"],
+        "packets_most_affected": result["packets_most_affected"],
+        "active_rx_level": result["active_rx_level"],
+        "quality_distribution": result["quality_distribution"],
+        "primary_cause_status": result["primary_cause_status"],
+        "next_single_step": result["next_single_step"],
+        "rf_tx": result["rf_tx"],
+    }, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()

experiments/lab064_rf_level_linearity.py

@@ -0,0 +1,957 @@
+"""Lab064: лестница цифровых уровней и измерение линейности RF-тракта.
+
+Подготовка и анализ не используют пакетный приёмник. Аппаратный preflight
+работает только в режиме RX. Передача доступна отдельной командой с явным
+флагом и защищена одноразовым маркером.
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict
+import argparse
+import hashlib
+import json
+from pathlib import Path
+import re
+import subprocess
+import sys
+import time
+
+if __package__ in (None, ""):
+    sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+import numpy as np
+from scipy import signal
+
+from experiments import lab043_pluto_to_rtlsdr as shaping
+from experiments import lab054_hardware_control as lab054
+from experiments import lab055_energy_audit as energy
+from experiments import lab056_abab_energy as lab056
+from experiments import lab056_capture_runner as hardware
+
+
+ROOT = Path(__file__).resolve().parents[1]
+RAW = ROOT / "data/raw/lab064"
+OUTPUT = ROOT / "data/processed/lab064"
+
+SAMPLE_RATE = 8_000_000
+SYMBOL_RATE = 20_000
+SAMPLES_PER_SYMBOL = SAMPLE_RATE // SYMBOL_RATE
+CARRIER_HZ = 50_000
+NOMINAL_RMS_CODE = 44.0
+LEVELS = (("L0", -18.0), ("L1", -12.0), ("L2", -6.0), ("L3", 0.0))
+SEGMENT_SAMPLES = 800_000
+GAP_SAMPLES = 400_000
+LEADING_ZERO_SAMPLES = 800_000
+TRAILING_ZERO_SAMPLES = 800_000
+PRBS_SYMBOLS = SEGMENT_SAMPLES // SAMPLES_PER_SYMBOL - 42
+TRIM_SAMPLES = 21 * SAMPLES_PER_SYMBOL
+TX_SAMPLES = (
+    LEADING_ZERO_SAMPLES
+    + len(LEVELS) * SEGMENT_SAMPLES
+    + (len(LEVELS) - 1) * GAP_SAMPLES
+    + TRAILING_ZERO_SAMPLES
+)
+RX_SECONDS = 2.0
+RX_SAMPLES = int(RX_SECONDS * SAMPLE_RATE)
+RX_LEAD_SECONDS = 0.5
+PREFLIGHT_SAMPLES = 800_000
+STRONG_AC_RMS_CODE = 20.0
+STRONG_COMPONENT_CODE = 100.0
+BACKGROUND_WINDOW_SAMPLES = 160_000
+
+POINT = hardware.OperatingPoint(
+    frequency_hz=1_400_000_000,
+    physical_path="MASTER TX near window -> LOS indoor -> SLAVE RX on desk",
+    path_confirmed=True,
+    tx_antenna="existing 1400 MHz antenna near window",
+    rx_antenna="existing 1400 MHz antenna on desk",
+    distance_m=1.2,
+    orientation="same polarization; fixed during preflight and RF session",
+    visibility="LOS indoor",
+)
+
+
+def save_new(path: Path, value: dict) -> None:
+    """Записать новый JSON и не перезаписывать свидетельства опыта."""
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("x", encoding="utf-8") as stream:
+        json.dump(value, stream, ensure_ascii=False, indent=2, allow_nan=False)
+        stream.write("\n")
+
+
+def save_text_new(path: Path, value: str) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("x", encoding="utf-8") as stream:
+        stream.write(value)
+
+
+def sha256(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as stream:
+        while block := stream.read(1024 * 1024):
+            digest.update(block)
+    return digest.hexdigest()
+
+
+def parameters() -> dict:
+    return {
+        "rf_frequency_hz": POINT.frequency_hz,
+        "sample_rate_hz": SAMPLE_RATE,
+        "symbol_rate": SYMBOL_RATE,
+        "samples_per_symbol": SAMPLES_PER_SYMBOL,
+        "digital_carrier_hz": CARRIER_HZ,
+        "rrc_rolloff": shaping.LAB042_RRC_ROLLOFF,
+        "rrc_span_symbols": shaping.LAB042_RRC_SPAN_SYMBOLS,
+        "prbs": "PRBS7 x^7+x^6+1, deterministic initial state",
+        "full_phy_packet": False,
+        "tx_vga_db": 10,
+        "rx_lna_db": 24,
+        "rx_vga_db": 24,
+        "rf_amplifier": False,
+        "bias_tee": False,
+        "geometry": asdict(POINT),
+        "clock_path": "10 MHz TCXO -> MASTER -> MASTER CLKOUT -> SLAVE CLKIN",
+        "levels_db_relative_nominal": [level for _, level in LEVELS],
+    }
+
+
+def transfer_command(path: Path | str, samples: int, *, transmit: bool = False) -> list[str]:
+    return hardware.command(POINT, path, samples, transmit=transmit)
+
+
+def _complex_to_cs8(values: np.ndarray) -> np.ndarray:
+    interleaved = np.empty(2 * len(values), dtype=np.int8)
+    interleaved[::2] = np.clip(np.rint(values.real), -128, 127).astype(np.int8)
+    interleaved[1::2] = np.clip(np.rint(values.imag), -128, 127).astype(np.int8)
+    return interleaved
+
+
+def nominal_segment() -> np.ndarray:
+    """Один участок длиной 100 мс с прежними PRBS7, BPSK и RRC."""
+    symbols = 2.0 * shaping.pilot_prbs7(PRBS_SYMBOLS) - 1.0
+    waveform = shaping.shape_frame_like_lab042(symbols, SAMPLES_PER_SYMBOL)
+    if len(waveform) != SEGMENT_SAMPLES:
+        raise RuntimeError("RRC-участок не равен заранее заданным 100 мс")
+    carrier = np.exp(2j * np.pi * CARRIER_HZ * np.arange(len(waveform)) / SAMPLE_RATE)
+    waveform = waveform * carrier
+    waveform *= NOMINAL_RMS_CODE / np.sqrt(np.mean(np.abs(waveform) ** 2))
+    return waveform
+
+
+def level_segment(level_db: float) -> np.ndarray:
+    scale = 10 ** (level_db / 20)
+    return _complex_to_cs8(nominal_segment() * scale)
+
+
+def segment_metrics(interleaved: np.ndarray, level_db: float) -> dict:
+    values = interleaved[::2].astype(np.float32) + 1j * interleaved[1::2].astype(np.float32)
+    moments = energy.Moments()
+    moments.add(values)
+    result = moments.result(SYMBOL_RATE)
+    result.update({
+        "requested_relative_power_db": level_db,
+        "tx_rms_code": result["rms_code"],
+        "tx_peak_abs_i_code": result["max_abs_i"],
+        "tx_peak_abs_q_code": result["max_abs_q"],
+        "tx_peak_magnitude_code": result["peak_magnitude_code"],
+        "digital_clipping": bool(result["clipped_samples_fraction"] > 0),
+    })
+    return result
+
+
+def prepared_segments() -> tuple[list[dict], dict[str, np.ndarray]]:
+    cursor = LEADING_ZERO_SAMPLES
+    rows: list[dict] = []
+    blocks: dict[str, np.ndarray] = {}
+    for index, (label, level_db) in enumerate(LEVELS):
+        block = level_segment(level_db)
+        metrics = segment_metrics(block, level_db)
+        rows.append({
+            "label": label,
+            "level_db": level_db,
+            "start_sample": cursor,
+            "samples": SEGMENT_SAMPLES,
+            "duration_seconds": SEGMENT_SAMPLES / SAMPLE_RATE,
+            "analysis_start_sample": cursor + TRIM_SAMPLES,
+            "analysis_samples": SEGMENT_SAMPLES - 2 * TRIM_SAMPLES,
+            "metrics": metrics,
+        })
+        blocks[label] = block
+        cursor += SEGMENT_SAMPLES
+        if index < len(LEVELS) - 1:
+            cursor += GAP_SAMPLES
+    if cursor + TRAILING_ZERO_SAMPLES != TX_SAMPLES:
+        raise RuntimeError("Ошибка схемы TX waveform")
+    nominal_power = rows[-1]["metrics"]["power_code2"]
+    for row in rows:
+        row["metrics"]["actual_relative_power_db"] = float(
+            10 * np.log10(row["metrics"]["power_code2"] / nominal_power)
+        )
+    for lower, upper in zip(rows, rows[1:]):
+        upper["tx_input_difference_from_previous_db"] = float(
+            10 * np.log10(
+                upper["metrics"]["power_code2"] / lower["metrics"]["power_code2"]
+            )
+        )
+    return rows, blocks
+
+
+def prepare() -> dict:
+    """Создать единственный конечный TX-файл и его проверяемые метаданные."""
+    RAW.mkdir(parents=True, exist_ok=True)
+    OUTPUT.mkdir(parents=True, exist_ok=True)
+    tx_path = RAW / "tx_level_staircase.cs8"
+    rows, blocks = prepared_segments()
+    with tx_path.open("xb") as stream:
+        stream.write(bytes(2 * LEADING_ZERO_SAMPLES))
+        for index, (label, _) in enumerate(LEVELS):
+            stream.write(blocks[label].tobytes())
+            if index < len(LEVELS) - 1:
+                stream.write(bytes(2 * GAP_SAMPLES))
+        stream.write(bytes(2 * TRAILING_ZERO_SAMPLES))
+    if tx_path.stat().st_size != 2 * TX_SAMPLES:
+        raise RuntimeError("Неверная длина подготовленного TX")
+    if any(row["metrics"]["digital_clipping"] for row in rows):
+        raise RuntimeError("В подготовленном TX обнаружен цифровой clipping")
+    steps = [row["tx_input_difference_from_previous_db"] for row in rows[1:]]
+    if any(abs(step - 6.0) > 0.1 for step in steps):
+        raise RuntimeError("Цифровая лестница не выдерживает шаг +6 дБ")
+    result = {
+        "lab": "Lab064",
+        "stage": "PREPARATION_ONLY",
+        "rf_tx_count": 0,
+        "head": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "parameters": parameters(),
+        "segments": rows,
+        "leading_zero_samples": LEADING_ZERO_SAMPLES,
+        "gap_samples": GAP_SAMPLES,
+        "trailing_zero_samples": TRAILING_ZERO_SAMPLES,
+        "tx_samples": TX_SAMPLES,
+        "tx_bytes": 2 * TX_SAMPLES,
+        "tx_duration_seconds": TX_SAMPLES / SAMPLE_RATE,
+        "tx_sha256": sha256(tx_path),
+        "rx_samples": RX_SAMPLES,
+        "rx_duration_seconds": RX_SECONDS,
+        "rx_lead_seconds": RX_LEAD_SECONDS,
+        "automatic_retry": False,
+        "tx_command_prepared_not_run": transfer_command(tx_path, TX_SAMPLES, transmit=True),
+        "rx_command_prepared_not_run": transfer_command(RAW / "rx_stream.cs8", RX_SAMPLES),
+    }
+    save_new(RAW / "tx_metadata.json", result)
+    save_new(OUTPUT / "preparation.json", result)
+    return result
+
+
+def validate_prepared() -> dict:
+    metadata = json.loads((RAW / "tx_metadata.json").read_text(encoding="utf-8"))
+    path = RAW / "tx_level_staircase.cs8"
+    rows, blocks = prepared_segments()
+    digest = hashlib.sha256()
+    digest.update(bytes(2 * LEADING_ZERO_SAMPLES))
+    for index, (label, _) in enumerate(LEVELS):
+        digest.update(blocks[label].tobytes())
+        if index < len(LEVELS) - 1:
+            digest.update(bytes(2 * GAP_SAMPLES))
+    digest.update(bytes(2 * TRAILING_ZERO_SAMPLES))
+    if (
+        metadata.get("lab") != "Lab064"
+        or metadata.get("stage") != "PREPARATION_ONLY"
+        or metadata.get("rf_tx_count") != 0
+        or metadata.get("parameters") != parameters()
+        or metadata.get("segments") != rows
+        or metadata.get("tx_samples") != TX_SAMPLES
+        or path.stat().st_size != 2 * TX_SAMPLES
+        or metadata.get("tx_sha256") != digest.hexdigest()
+        or sha256(path) != digest.hexdigest()
+    ):
+        raise RuntimeError("Подготовленный Lab064 TX или параметры изменились")
+    return metadata
+
+
+def difference_db(new: float, old: float) -> float:
+    if new <= 0 or old <= 0:
+        raise ValueError("Для разности в дБ нужны положительные мощности")
+    return float(10 * np.log10(new / old))
+
+
+def counter_observations(log: str) -> list[dict]:
+    """Сохранить все промежуточные и итоговые счётчики потерь из лога."""
+    pattern = re.compile(
+        r"(?<![\w.+-])(\d+)\s+(?:(rx|tx)\s+)?(overruns?|underruns?)\b",
+        re.IGNORECASE,
+    )
+    return [
+        {
+            "count": int(match.group(1)),
+            "role": (match.group(2) or "UNKNOWN").upper(),
+            "kind": match.group(3).lower().rstrip("s"),
+            "text": match.group(0),
+            "character_offset": match.start(),
+        }
+        for match in pattern.finditer(log)
+    ]
+
+
+def counter_summary(log: str, expected_kind: str) -> dict:
+    observations = counter_observations(log)
+    selected = [row for row in observations if row["kind"] == expected_kind]
+    unparsed = re.search(
+        r"overrun|underrun",
+        re.sub(
+            r"(?<![\w.+-])\d+\s+(?:(?:rx|tx)\s+)?(?:overruns?|underruns?)\b",
+            "",
+            log,
+            flags=re.IGNORECASE,
+        ),
+        re.IGNORECASE,
+    )
+    return {
+        "expected_kind": expected_kind,
+        "observations": observations,
+        "selected_counts": [row["count"] for row in selected],
+        "final_count": selected[-1]["count"] if selected else None,
+        "maximum_count": max((row["count"] for row in selected), default=None),
+        "unparsed_loss_text": bool(unparsed),
+        "clean": bool(selected) and not unparsed and all(row["count"] == 0 for row in observations),
+    }
+
+
+def synthetic_linearity_gate() -> dict:
+    """Проверить метрики на известном линейном канале без аппаратуры."""
+    rows, blocks = prepared_segments()
+    random_generator = np.random.default_rng(64064)
+    measured = []
+    for row in rows:
+        block = blocks[row["label"]]
+        reference = block[::2].astype(np.float64) + 1j * block[1::2].astype(np.float64)
+        reference = reference[TRIM_SAMPLES:-TRIM_SAMPLES]
+        noise = random_generator.normal(0, 0.03, len(reference)) + 1j * random_generator.normal(
+            0, 0.03, len(reference)
+        )
+        received = 0.37 * np.exp(0.41j) * reference + (0.8 - 0.3j) + noise
+        fitted = energy.fit_channel(reference, received, SAMPLE_RATE)
+        measured.append({
+            "label": row["label"],
+            "matched_signal_power": fitted["heldout_signal_power"],
+            "residual_power": fitted["heldout_residual_power"],
+            "gain_abs": fitted["gain_abs"],
+        })
+    step_errors = []
+    for index in range(1, len(rows)):
+        tx_step = rows[index]["tx_input_difference_from_previous_db"]
+        rx_step = difference_db(
+            measured[index]["matched_signal_power"],
+            measured[index - 1]["matched_signal_power"],
+        )
+        step_errors.append(rx_step - tx_step)
+    passed = max(abs(error) for error in step_errors) < 0.02
+    return {
+        "lab": "Lab064",
+        "stage": "SOFTWARE_LINEARITY_GATE",
+        "rf_tx_count": 0,
+        "channel_model": "known linear complex gain plus DC and deterministic Gaussian noise",
+        "rows": measured,
+        "linearity_errors_db": step_errors,
+        "passed": passed,
+    }
+
+
+def software_gate() -> dict:
+    metadata = validate_prepared()
+    result = synthetic_linearity_gate()
+    result["tx_sha256"] = metadata["tx_sha256"]
+    save_new(OUTPUT / "software_gate.json", result)
+    if not result["passed"]:
+        raise RuntimeError("Lab064 software gate FAIL")
+    return result
+
+
+def locate_waveform(tx: energy.Cs8File, rx: energy.Cs8File) -> dict:
+    """Найти всю лестницу по прореженной диагностической корреляции."""
+    stride = 32
+
+    def decimated(source: energy.Cs8File) -> np.ndarray:
+        chunks = [
+            source.read(start, min(262_144, source.size - start))[::stride]
+            for start in range(0, source.size, 262_144)
+        ]
+        return np.concatenate(chunks).astype(np.complex128)
+
+    reference = decimated(tx)
+    received = decimated(rx)
+    if len(received) < len(reference):
+        raise ValueError("RX короче TX waveform")
+    reference -= reference.mean()
+    received -= received.mean()
+    reference_energy = float(np.sum(np.abs(reference) ** 2))
+    cumulative = np.concatenate(([0.0], np.cumsum(np.abs(received) ** 2)))
+    window_energy = cumulative[len(reference):] - cumulative[:-len(reference)]
+    time_axis = np.arange(len(reference)) * stride / SAMPLE_RATE
+    best = (-1.0, 0, 0.0)
+    for frequency_hz in np.arange(-3.0, 3.01, 0.25):
+        rotated = reference * np.exp(2j * np.pi * frequency_hz * time_axis)
+        correlation = signal.fftconvolve(received, np.conj(rotated[::-1]), mode="valid")
+        scores = np.abs(correlation) / np.sqrt(
+            np.maximum(reference_energy * window_energy, 1e-30)
+        )
+        index = int(np.argmax(scores))
+        if scores[index] > best[0]:
+            best = (float(scores[index]), index * stride, float(frequency_hz))
+    if best[0] < 0.05:
+        raise RuntimeError("Лестница уровней не локализована; измерение UNKNOWN")
+    return {"start_sample": best[1], "correlation": best[0], "coarse_cfo_hz": best[2], "stride": stride}
+
+
+def _window_metrics(values: np.ndarray) -> dict:
+    moments = energy.Moments()
+    moments.add(values)
+    result = moments.result(SYMBOL_RATE)
+    result["ac_rms_code"] = float(np.sqrt(max(0.0, result["ac_power_code2"])))
+    return result
+
+
+def background_windows() -> list[dict]:
+    """Окна внутри всех нулевых участков, вдали от активных границ."""
+    starts = (
+        ("INITIAL_GUARD", 320_000),
+        ("GAP_L0_L1", 1_760_000),
+        ("GAP_L1_L2", 2_960_000),
+        ("GAP_L2_L3", 4_160_000),
+        ("FINAL_GUARD", 5_440_000),
+    )
+    return [
+        {
+            "label": label,
+            "tx_relative_start_sample": start,
+            "samples": BACKGROUND_WINDOW_SAMPLES,
+            "duration_seconds": BACKGROUND_WINDOW_SAMPLES / SAMPLE_RATE,
+        }
+        for label, start in starts
+    ]
+
+
+def summarize_background(rows: list[dict]) -> dict:
+    powers = [row["metrics"]["ac_power_code2"] for row in rows]
+    rms_values = [row["metrics"]["ac_rms_code"] for row in rows]
+    variation_db = difference_db(max(powers), min(powers))
+    return {
+        "ac_power_min_code2": min(powers),
+        "ac_power_max_code2": max(powers),
+        "ac_rms_min_code": min(rms_values),
+        "ac_rms_max_code": max(rms_values),
+        "maximum_to_minimum_ac_power_db": variation_db,
+        "stability_rule_db": 3.0,
+        "stable": variation_db <= 3.0,
+    }
+
+
+def residual_spectral_diagnostics(
+    reference: np.ndarray,
+    received: np.ndarray,
+    cfo_hz: float,
+    complex_gain: dict,
+) -> dict:
+    """Оценить паразитные полосы после вычитания согласованной составляющей."""
+    rotated = reference * np.exp(2j * np.pi * cfo_hz * np.arange(len(reference)) / SAMPLE_RATE)
+    rotated -= rotated.mean()
+    centered_received = received - received.mean()
+    gain = complex(complex_gain["real"], complex_gain["imag"])
+    residual = centered_received - gain * rotated
+    frequencies, density = energy.spectrum(residual)
+    half_width = 0.675 * SYMBOL_RATE
+    bands = {}
+    for harmonic in (1, 2, 3):
+        center = harmonic * CARRIER_HZ
+        bands[f"residual_band_h{harmonic}_power_code2"] = energy.band_power(
+            frequencies, density, center - half_width, center + half_width
+        )
+    bands["interpretation"] = (
+        "Diagnostic residual bands at 50/100/150 kHz; not calibrated RF harmonic power"
+    )
+    return bands
+
+
+def classify_linearity(
+    rows: list[dict], comparisons: list[dict], background_summary: dict
+) -> dict:
+    errors = [row["linearity_error_db"] for row in comparisons]
+    l3_ratio = rows[-1]["matched_to_residual_db"]
+    clipping = any(row["full_iq"]["clipped_samples_fraction"] > 0 for row in rows)
+    if clipping:
+        case = "INVALID_RX_CLIPPING"
+    elif comparisons[-1]["linearity_error_db"] <= -1.5:
+        case = "COMPRESSION"
+    elif (
+        max(abs(value) for value in errors) <= 1.0
+        and l3_ratio < 3.0
+        and background_summary["stable"]
+    ):
+        case = "LINEAR_BUT_WEAK"
+    elif (
+        max(abs(value) for value in errors) <= 1.0
+        and l3_ratio >= 6.0
+        and background_summary["stable"]
+    ):
+        case = "HEALTHY_LINEAR_RANGE"
+    else:
+        case = "NOT_LOCALIZED"
+    return {
+        "case": case,
+        "rules_fixed_before_rf": {
+            "linear_max_abs_error_db": 1.0,
+            "compression_upper_step_error_at_most_db": -1.5,
+            "weak_l3_matched_to_residual_below_db": 3.0,
+            "healthy_l3_matched_to_residual_at_least_db": 6.0,
+        },
+    }
+
+
+def capture_validity(capture: dict) -> dict:
+    """Не дать последнему нулевому счётчику скрыть промежуточную потерю."""
+    reasons = []
+    for role, key in (("TX", "tx_counter_summary"), ("RX", "rx_counter_summary")):
+        summary = capture.get(key, {})
+        if summary.get("clean") is not True:
+            reasons.append(f"{role}_COUNTER_NOT_CLEAN")
+        if summary.get("maximum_count") != 0:
+            reasons.append(f"{role}_MAXIMUM_COUNTER_NOT_ZERO")
+    if capture.get("passed") is not True:
+        reasons.append("CAPTURE_RUNNER_NOT_PASSED")
+    if capture.get("rx_clipping") is not False:
+        reasons.append("RX_CLIPPING_NOT_EXCLUDED")
+    return {"valid": not reasons, "invalid_reasons": reasons}
+
+
+def analyze_capture() -> dict:
+    """Проанализировать сохранённый RX только как известный измерительный сигнал."""
+    metadata = validate_prepared()
+    rx_path = RAW / "rx_stream.cs8"
+    capture = json.loads((RAW / "capture_result.json").read_text(encoding="utf-8"))
+    if capture.get("rf_tx_count") != 1 or capture.get("rx_sha256") != sha256(rx_path):
+        raise RuntimeError("Нет подтверждённой единственной RX-записи Lab064")
+    tx = energy.Cs8File(RAW / "tx_level_staircase.cs8")
+    rx = energy.Cs8File(rx_path)
+    location = locate_waveform(tx, rx)
+    background_rows = []
+    for window in background_windows():
+        rx_start = location["start_sample"] + window["tx_relative_start_sample"]
+        background_rows.append({
+            **window,
+            "rx_start_sample": rx_start,
+            "metrics": _window_metrics(rx.read(rx_start, window["samples"])),
+        })
+    background_by_label = {row["label"]: row for row in background_rows}
+    preceding_background = {
+        "L0": "INITIAL_GUARD",
+        "L1": "GAP_L0_L1",
+        "L2": "GAP_L1_L2",
+        "L3": "GAP_L2_L3",
+    }
+    rows = []
+    for segment in metadata["segments"]:
+        tx_start = segment["start_sample"]
+        nominal_rx_start = location["start_sample"] + tx_start
+        fitted = energy.analyze_rx(
+            lab056.OffsetSource(tx, tx_start),
+            rx,
+            [nominal_rx_start],
+            SEGMENT_SAMPLES,
+            SAMPLES_PER_SYMBOL,
+        )["frames"][0]
+        actual_start = fitted["start"]
+        full_values = rx.read(actual_start, SEGMENT_SAMPLES)
+        active_reference = tx.read(tx_start + TRIM_SAMPLES, SEGMENT_SAMPLES - 2 * TRIM_SAMPLES)
+        active_received = rx.read(actual_start + TRIM_SAMPLES, SEGMENT_SAMPLES - 2 * TRIM_SAMPLES)
+        complex_gain = lab056.complex_gain(active_reference, active_received, fitted["cfo_hz"])
+        matched = fitted["heldout_signal_power"]
+        residual = fitted["heldout_residual_power"]
+        background = background_by_label[preceding_background[segment["label"]]]
+        rows.append({
+            "label": segment["label"],
+            "level_db": segment["level_db"],
+            "rx_start_sample": actual_start,
+            "alignment_adjustment_samples": fitted["alignment_adjustment"],
+            "full_iq": _window_metrics(full_values),
+            "background_label": background["label"],
+            "background": background["metrics"],
+            "background_window_start_sample": background["rx_start_sample"],
+            "matched_signal_power": matched,
+            "matched_signal_amplitude_rms": float(np.sqrt(matched)),
+            "residual_power": residual,
+            "residual_to_matched_amplitude_ratio": float(np.sqrt(residual / matched)),
+            "matched_to_residual_db": difference_db(matched, residual),
+            "complex_gain_h": complex_gain,
+            "gain_abs": fitted["gain_abs"],
+            "gain_power_abs_h_squared": fitted["gain_abs"] ** 2,
+            "cfo_hz": fitted["cfo_hz"],
+            "residual_spectrum": residual_spectral_diagnostics(
+                active_reference, active_received, fitted["cfo_hz"], complex_gain
+            ),
+        })
+    comparisons = []
+    for index in range(1, len(rows)):
+        tx_difference = metadata["segments"][index]["tx_input_difference_from_previous_db"]
+        rx_difference = difference_db(
+            rows[index]["matched_signal_power"], rows[index - 1]["matched_signal_power"]
+        )
+        comparisons.append({
+            "comparison": f"{rows[index]['label']}/{rows[index - 1]['label']}",
+            "tx_input_difference_db": tx_difference,
+            "rx_matched_power_difference_db": rx_difference,
+            "linearity_error_db": rx_difference - tx_difference,
+            "tx_amplitude_ratio": float(10 ** (tx_difference / 20)),
+            "rx_matched_amplitude_ratio": float(10 ** (rx_difference / 20)),
+        })
+    total_tx_difference = difference_db(
+        metadata["segments"][-1]["metrics"]["power_code2"],
+        metadata["segments"][0]["metrics"]["power_code2"],
+    )
+    total_rx_difference = difference_db(
+        rows[-1]["matched_signal_power"], rows[0]["matched_signal_power"]
+    )
+    total_comparison = {
+        "comparison": "L3/L0",
+        "tx_digital_power_difference_db": total_tx_difference,
+        "rx_matched_power_difference_db": total_rx_difference,
+        "total_linearity_error_db": total_rx_difference - total_tx_difference,
+        "tx_amplitude_ratio": float(10 ** (total_tx_difference / 20)),
+        "rx_matched_amplitude_ratio": float(10 ** (total_rx_difference / 20)),
+    }
+    background_summary = summarize_background(background_rows)
+    validity = capture_validity(capture)
+    classification = (
+        classify_linearity(rows, comparisons, background_summary)
+        if validity["valid"]
+        else {
+            "case": "INVALID_CAPTURE",
+            "invalid_reasons": validity["invalid_reasons"],
+            "diagnostic_metrics_only": True,
+            "a_b_c_classification_permitted": False,
+        }
+    )
+    result = {
+        "lab": "Lab064",
+        "stage": "OFFLINE_RF_LEVEL_LINEARITY_ANALYSIS",
+        "packet_receiver_used": False,
+        "location": location,
+        "rows": rows,
+        "background_windows": background_rows,
+        "background_summary": background_summary,
+        "comparisons": comparisons,
+        "total_comparison": total_comparison,
+        "classification": classification,
+        "capture_valid": validity["valid"],
+        "capture_invalid_reasons": validity["invalid_reasons"],
+        "tx_underruns_maximum": capture.get("tx_counter_summary", {}).get("maximum_count"),
+        "tx_underruns_final": capture.get("tx_counter_summary", {}).get("final_count"),
+        "rx_overruns_maximum": capture.get("rx_counter_summary", {}).get("maximum_count"),
+        "rx_overruns_final": capture.get("rx_counter_summary", {}).get("final_count"),
+        "rx_clipping": any(row["full_iq"]["clipped_samples_fraction"] > 0 for row in rows),
+    }
+    save_new(OUTPUT / "rf_result.json", result)
+    return result
+
+
+def preflight(*, runner=None, process_checker=None, clock_checker=None, sleep_function=time.sleep) -> dict:
+    """Проверить common clock и 0,1 с RX-фона, не создавая TX-команду."""
+    metadata = validate_prepared()
+    software = json.loads((OUTPUT / "software_gate.json").read_text(encoding="utf-8"))
+    if not software.get("passed") or software.get("tx_sha256") != metadata["tx_sha256"]:
+        raise RuntimeError("Нет действующего Lab064 software gate")
+    save_new(RAW / "preflight_attempt.json", {
+        "lab": "Lab064",
+        "rf_tx_count": 0,
+        "point": asdict(POINT),
+        "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"],
+    })
+    actual_runner = runner or lab054.clock._default_command_runner
+    process_checker = process_checker or lab054.check_processes
+    clock_checker = clock_checker or hardware.common_clock
+
+    def rx_only(command: list[str]):
+        if "-t" in command:
+            raise PermissionError("TX запрещён в Lab064 preflight")
+        return actual_runner(command)
+
+    result = {
+        "lab": "Lab064",
+        "stage": "COMMON_CLOCK_AND_RX_ONLY_PREFLIGHT",
+        "passed": False,
+        "rf_tx_count": 0,
+        "stop_before_tx": True,
+        "point": asdict(POINT),
+        "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"],
+    }
+    clock_started = False
+    try:
+        before = process_checker()
+        result["process_before"] = before.to_dict()
+        lab054.require_clear(before)
+        result["inventory"] = lab054.phy.lab045._verify_device_inventory(rx_only)
+        clock_started = True
+        result["clock"] = clock_checker(
+            POINT,
+            rx_only,
+            lab054.clock.TransmitGuard(),
+            sleep_function=sleep_function,
+        )
+        hardware.require_clock_pass(result["clock"])
+        path = RAW / "preflight_rx.cs8"
+        if path.exists():
+            raise FileExistsError("Lab064 preflight RX уже существует")
+        captured = rx_only(transfer_command(path, PREFLIGHT_SAMPLES))
+        stdout = captured.stdout or ""
+        stderr = captured.stderr or ""
+        result["rx_process"] = {"returncode": captured.returncode, "stdout": stdout, "stderr": stderr}
+        result["rx_counter_summary"] = counter_summary(stdout + stderr, "overrun")
+        if captured.returncode or not result["rx_counter_summary"]["clean"]:
+            raise RuntimeError("RX preflight: процесс или счётчик overruns не прошёл")
+        if path.stat().st_size != 2 * PREFLIGHT_SAMPLES:
+            raise RuntimeError("Неверная длина Lab064 preflight RX")
+        level = hardware.receive_level(path)
+        level.pop("symbol_energy_code2_seconds", None)
+        level["symbol_energy"] = "NOT_APPLICABLE_TO_BACKGROUND"
+        level["ac_rms_code"] = float(np.sqrt(max(0.0, level["ac_power_code2"])))
+        level["unexpected_strong_signal"] = bool(
+            level["ac_rms_code"] >= STRONG_AC_RMS_CODE
+            or level["max_abs_i"] >= STRONG_COMPONENT_CODE
+            or level["max_abs_q"] >= STRONG_COMPONENT_CODE
+        )
+        level["strong_signal_rule"] = (
+            f"AC RMS >= {STRONG_AC_RMS_CODE} code or max |I|/|Q| >= {STRONG_COMPONENT_CODE} code"
+        )
+        result["rx_level"] = level
+        result["rx_sha256"] = sha256(path)
+        result["rx_overruns"] = result["rx_counter_summary"]["final_count"]
+        if level["saturation_detected"]:
+            raise RuntimeError("RX clipping; STOP без изменения gain")
+        if level["unexpected_strong_signal"]:
+            raise RuntimeError("Неожиданно сильный RX-only фон; STOP без изменения gain")
+        result["passed"] = True
+    except Exception as error:
+        result["error"] = str(error)
+        raise
+    finally:
+        errors = lab054.disable_clock_outputs(rx_only) if clock_started else []
+        try:
+            after = process_checker()
+            result["process_after"] = after.to_dict()
+            lab054.require_clear(after)
+        except Exception as error:
+            errors.append(str(error))
+        result["cleanup_errors"] = errors
+        result["passed"] = result["passed"] and not errors
+        save_new(RAW / "preflight_result.json", result)
+        OUTPUT.mkdir(parents=True, exist_ok=True)
+        (OUTPUT / "preflight_result.json").write_text(
+            json.dumps(result, ensure_ascii=False, indent=2, allow_nan=False) + "\n",
+            encoding="utf-8",
+        )
+    if not result["passed"]:
+        raise RuntimeError("Lab064 preflight cleanup FAIL")
+    return result
+
+
+def require_preflight(metadata: dict) -> dict:
+    record = json.loads((RAW / "preflight_result.json").read_text(encoding="utf-8"))
+    if (
+        record.get("passed") is not True
+        or record.get("rf_tx_count") != 0
+        or record.get("point") != asdict(POINT)
+        or record.get("parameters") != parameters()
+        or record.get("tx_sha256") != metadata["tx_sha256"]
+    ):
+        raise PermissionError("Нет успешного RX-only preflight для этой конфигурации Lab064")
+    hardware.require_clock_pass(record.get("clock", {}))
+    level = record.get("rx_level", {})
+    if (
+        level.get("saturation_detected") is not False
+        or level.get("unexpected_strong_signal") is not False
+        or record.get("rx_overruns") != 0
+    ):
+        raise PermissionError("RX-only preflight не разрешает передачу")
+    return record
+
+
+def capture_once(
+    *,
+    authorization: bool = False,
+    runner=None,
+    process_starter=None,
+    process_checker=None,
+    clock_checker=None,
+    sleep_function=time.sleep,
+) -> dict:
+    """Один RX-first сеанс; любая попытка расходуется до обращения к SDR."""
+    if authorization is not True:
+        raise PermissionError("Нужно отдельное разрешение на единственный RF-сеанс Lab064")
+    metadata = validate_prepared()
+    require_preflight(metadata)
+    receive_path = RAW / "rx_stream.cs8"
+    if receive_path.exists() or (RAW / "capture_result.json").exists():
+        raise FileExistsError("Аппаратный результат Lab064 уже существует")
+    actual_runner = runner or lab054.clock._default_command_runner
+    process_starter = process_starter or lab054.clock._default_process_starter
+    process_checker = process_checker or lab054.check_processes
+    clock_checker = clock_checker or hardware.common_clock
+    save_new(RAW / "hardware_attempt.json", {
+        "lab": "Lab064",
+        "authorized_once": True,
+        "automatic_retry": False,
+        "point": asdict(POINT),
+        "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"],
+    })
+    result = {
+        "lab": "Lab064",
+        "stage": "SINGLE_RF_LEVEL_CAPTURE",
+        "passed": False,
+        "rf_tx_count": 0,
+        "automatic_tx_repeats": 0,
+        "point": asdict(POINT),
+        "parameters": parameters(),
+        "tx_sha256": metadata["tx_sha256"],
+    }
+    guard = lab054.clock.TransmitGuard()
+    process = None
+    clock_started = False
+    try:
+        before = process_checker()
+        result["process_before"] = before.to_dict()
+        lab054.require_clear(before)
+        result["inventory"] = lab054.phy.lab045._verify_device_inventory(actual_runner)
+        clock_started = True
+        result["clock"] = clock_checker(
+            POINT, actual_runner, guard, sleep_function=sleep_function
+        )
+        hardware.require_clock_pass(result["clock"])
+        process = process_starter(
+            transfer_command(receive_path, RX_SAMPLES),
+            RAW / "rx_stdout.txt",
+            RAW / "rx_stderr.txt",
+        )
+        sleep_function(RX_LEAD_SECONDS)
+        if process.poll() is not None:
+            raise RuntimeError("RX завершился до TX")
+        before_tx = hardware.receive_level(receive_path, tail_samples=65_536)
+        before_tx.pop("symbol_energy_code2_seconds", None)
+        result["rx_level_before_tx"] = before_tx
+        if before_tx["saturation_detected"]:
+            raise RuntimeError("RX clipping до TX; RF TX = 0")
+        guard.register_transmit()
+        result["rf_tx_count"] = guard.transmit_calls
+        transmitted = actual_runner(
+            transfer_command(RAW / "tx_level_staircase.cs8", TX_SAMPLES, transmit=True)
+        )
+        tx_stdout = transmitted.stdout or ""
+        tx_stderr = transmitted.stderr or ""
+        save_text_new(RAW / "tx_stdout.txt", tx_stdout)
+        save_text_new(RAW / "tx_stderr.txt", tx_stderr)
+        result["tx_process"] = {
+            "returncode": transmitted.returncode,
+            "stdout_file": "tx_stdout.txt",
+            "stderr_file": "tx_stderr.txt",
+        }
+        result["tx_counter_summary"] = counter_summary(tx_stdout + tx_stderr, "underrun")
+        if transmitted.returncode:
+            raise RuntimeError("Единственный TX завершился ошибкой; повтор запрещён")
+        if process.wait(RX_SECONDS + 10):
+            raise RuntimeError("RX завершился ошибкой; передача уже выполнена, повтор запрещён")
+        process.close_logs()
+        result["rx_samples"] = receive_path.stat().st_size // 2
+        result["rx_bytes"] = receive_path.stat().st_size
+        result["rx_duration_seconds"] = result["rx_samples"] / SAMPLE_RATE
+        if result["rx_bytes"] != 2 * RX_SAMPLES:
+            raise RuntimeError("Повреждённая длина RX; повтор запрещён")
+        rx_stdout = (RAW / "rx_stdout.txt").read_text(encoding="utf-8")
+        rx_stderr = (RAW / "rx_stderr.txt").read_text(encoding="utf-8")
+        result["rx_counter_summary"] = counter_summary(rx_stdout + rx_stderr, "overrun")
+        result["rx_sha256"] = sha256(receive_path)
+        level = hardware.receive_level(receive_path)
+        level.pop("symbol_energy_code2_seconds", None)
+        result["rx_level"] = level
+        result["rx_clipping"] = bool(level["saturation_detected"])
+        if not result["tx_counter_summary"]["clean"]:
+            raise RuntimeError("TX underrun или неоднозначный счётчик; результат сохранён, повтор запрещён")
+        if not result["rx_counter_summary"]["clean"]:
+            raise RuntimeError("RX overrun или неоднозначный счётчик; результат сохранён, повтор запрещён")
+        if result["rx_clipping"]:
+            raise RuntimeError("RX clipping в записи; результат сохранён, повтор запрещён")
+        result["passed"] = True
+    except Exception as error:
+        result["error"] = str(error)
+        raise
+    finally:
+        errors = []
+        if process is not None:
+            try:
+                process.terminate()
+            except Exception as error:
+                errors.append(str(error))
+        if clock_started:
+            errors.extend(lab054.disable_clock_outputs(actual_runner))
+        try:
+            after = process_checker()
+            result["process_after"] = after.to_dict()
+            lab054.require_clear(after)
+        except Exception as error:
+            errors.append(str(error))
+        result["cleanup_errors"] = errors
+        result["passed"] = result["passed"] and not errors
+        save_new(RAW / "capture_result.json", result)
+        OUTPUT.mkdir(parents=True, exist_ok=True)
+        (OUTPUT / "capture_result.json").write_text(
+            json.dumps(result, ensure_ascii=False, indent=2, allow_nan=False) + "\n",
+            encoding="utf-8",
+        )
+    if not result["passed"]:
+        raise RuntimeError("Lab064 RF-сеанс завершён с ошибкой; повтор запрещён")
+    return result
+
+
+def run_functional_tests() -> None:
+    assert SAMPLES_PER_SYMBOL == 400
+    assert PRBS_SYMBOLS == 1958
+    assert TX_SAMPLES == 6_000_000
+    rows, _ = prepared_segments()
+    assert len(rows) == 4
+    assert all(not row["metrics"]["digital_clipping"] for row in rows)
+    assert max(abs(row["tx_input_difference_from_previous_db"] - 6.0) for row in rows[1:]) < 0.1
+    assert synthetic_linearity_gate()["passed"]
+    assert "-t" not in transfer_command("NUL", 65_536)
+    try:
+        capture_once(authorization=False)
+    except PermissionError:
+        pass
+    else:
+        raise AssertionError("RF без отдельного разрешения")
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--stage",
+        choices=("prepare", "software", "preflight", "capture", "analyze"),
+        required=True,
+    )
+    parser.add_argument("--authorize-one-rf", action="store_true")
+    arguments = parser.parse_args()
+    if arguments.stage == "prepare":
+        result = prepare()
+    elif arguments.stage == "software":
+        result = software_gate()
+    elif arguments.stage == "preflight":
+        result = preflight()
+    elif arguments.stage == "capture":
+        result = capture_once(authorization=arguments.authorize_one_rf)
+    else:
+        result = analyze_capture()
+    print(json.dumps(result, ensure_ascii=False, indent=2, allow_nan=False))
+    print("RF TX = 0")
+
+
+if __name__ == "__main__":
+    main()

tests/test_lab062_full_packet_rf_preflight.py

@@ -0,0 +1,142 @@
+"""Lab062: программные условия и запрет TX до отдельного разрешения."""
+
+from __future__ import annotations
+
+from dataclasses import asdict
+from pathlib import Path
+import subprocess
+import json
+
+import pytest
+
+from experiments import lab062_full_packet_rf_preflight as lab
+from tools.hackrf_process_check import ProcessCheck, ProcessState
+
+
+def test_fixed_packet_and_operating_point():
+    assert len(lab.plans()) == 16
+    assert all(len(frame.plan.payload) == 256 for frame in lab.plans())
+    assert lab.parameters()["rf_frequency_hz"] == 1_400_000_000
+    assert lab.parameters()["symbol_rate"] == 500_000
+    assert lab.parameters()["tx_vga_db"] == 10
+    assert lab.parameters()["rx_lna_db"] == lab.parameters()["rx_vga_db"] == 24
+    assert lab.POINT.distance_m == 1.2 and lab.POINT.visibility == "LOS indoor"
+
+
+def test_rx_and_tx_commands_are_fixed_and_distinct():
+    receive = lab.transfer_command("rx.cs8", 800_000)
+    transmit = lab.transfer_command("tx.cs8", 100, transmit=True)
+    assert "-r" in receive and "-t" not in receive
+    assert "-t" in transmit and "-r" not in transmit
+    assert receive[receive.index("-f") + 1] == "1400000000"
+    assert receive[receive.index("-l") + 1] == receive[receive.index("-g") + 1] == "24"
+    assert transmit[transmit.index("-x") + 1] == "10"
+
+
+@pytest.mark.parametrize("failure", [None, "clock", "clipping", "strong", "overrun"])
+def test_preflight_never_transmits_and_fails_closed(tmp_path, monkeypatch, failure):
+    raw, output = tmp_path / "raw", tmp_path / "processed"
+    raw.mkdir(); output.mkdir()
+    monkeypatch.setattr(lab, "RAW", raw); monkeypatch.setattr(lab, "OUTPUT", output)
+    (raw / "tx_stream.cs8").write_bytes(b"test")
+    metadata = {"tx_sha256": "TEST"}
+    (output / "software_gate.json").write_text('{"passed": true, "tx_sha256": "TEST"}')
+    monkeypatch.setattr(lab, "validate_prepared", lambda: metadata)
+    monkeypatch.setattr(lab.lab054.phy.lab045, "_verify_device_inventory", lambda runner: {"passed": True})
+    def clock(point, runner, guard, **kwargs):
+        return {"passed": failure != "clock", "master_reg29": 0x26,
+                "slave_reg29": 0x26, "slave_clkin_status": "DETECTED"}
+    def runner(command):
+        assert "-t" not in command
+        if "-r" in command:
+            value = 127 if failure == "clipping" else (110 if failure == "strong" else 1)
+            Path(command[command.index("-r") + 1]).write_bytes(bytes([value, value]) * 800_000)
+        log = "1 RX overruns" if failure == "overrun" else "0 RX overruns"
+        return subprocess.CompletedProcess(command, 0, log, "")
+    monkeypatch.setattr(lab.lab054, "disable_clock_outputs", lambda runner: [])
+    kwargs = dict(runner=runner, clock_checker=clock,
+                  process_checker=lambda: ProcessCheck(ProcessState.CLEAR, ()),
+                  sleep_function=lambda _: None)
+    if failure:
+        with pytest.raises(RuntimeError):
+            lab.preflight(**kwargs)
+    else:
+        assert lab.preflight(**kwargs)["passed"]
+    result = __import__("json").loads((raw / "preflight_result.json").read_text())
+    assert result["rf_tx_count"] == 0
+    if failure is None:
+        assert "symbol_energy_code2_seconds" not in result["rx_level"]
+        assert result["rx_level"]["symbol_energy"] == "NOT_APPLICABLE_TO_BACKGROUND"
+
+
+def test_second_preflight_is_refused_before_hardware(tmp_path, monkeypatch):
+    monkeypatch.setattr(lab, "RAW", tmp_path)
+    monkeypatch.setattr(lab, "OUTPUT", tmp_path)
+    (tmp_path / "preflight_attempt.json").write_text("{}")
+    monkeypatch.setattr(lab, "validate_prepared", lambda: {"tx_sha256": "TEST"})
+    (tmp_path / "software_gate.json").write_text('{"passed": true, "tx_sha256": "TEST"}')
+    with pytest.raises(FileExistsError):
+        lab.preflight(runner=lambda command: pytest.fail("hardware"))
+
+
+def test_capture_refuses_missing_authorization_before_files_or_hardware(tmp_path, monkeypatch):
+    monkeypatch.setattr(lab, "RAW", tmp_path)
+    monkeypatch.setattr(lab, "OUTPUT", tmp_path)
+    with pytest.raises(PermissionError):
+        lab.capture_once(
+            authorization=False,
+            runner=lambda command: pytest.fail("hardware"),
+        )
+    assert not (tmp_path / "hardware_attempt.json").exists()
+
+
+def test_capture_is_rx_first_single_tx_and_refuses_second_attempt(tmp_path, monkeypatch):
+    raw, output = tmp_path / "raw", tmp_path / "processed"
+    raw.mkdir(); output.mkdir()
+    monkeypatch.setattr(lab, "RAW", raw); monkeypatch.setattr(lab, "OUTPUT", output)
+    tx = raw / "tx_stream.cs8"; tx.write_bytes(b"\x01\x01" * 100)
+    metadata = {"tx_sha256": lab.sha256(tx), "tx_samples": 100}
+    monkeypatch.setattr(lab, "validate_prepared", lambda: metadata)
+    monkeypatch.setattr(lab, "require_preflight", lambda value: {})
+    monkeypatch.setattr(lab, "RX_SAMPLES", 800_000)
+    monkeypatch.setattr(lab.lab054.phy.lab045, "_verify_device_inventory", lambda runner: {"passed": True})
+    monkeypatch.setattr(lab.lab054, "disable_clock_outputs", lambda runner: [])
+    events = []
+
+    class Process:
+        def poll(self): return None
+        def wait(self, timeout): return 0
+        def close_logs(self): pass
+        def terminate(self): pass
+
+    def starter(command, stdout, stderr):
+        events.append("RX")
+        Path(command[command.index("-r") + 1]).write_bytes(b"\x01\x01" * 800_000)
+        Path(stdout).write_text("")
+        Path(stderr).write_text("0 RX overruns")
+        return Process()
+
+    def runner(command):
+        if "-t" in command:
+            events.append("TX")
+            return subprocess.CompletedProcess(command, 0, "0 TX underruns", "")
+        return subprocess.CompletedProcess(command, 0, "", "")
+
+    def clock(point, runner, guard, **kwargs):
+        guard.tx_allowed = True
+        return {
+            "passed": True, "master_reg29": 0x26, "slave_reg29": 0x26,
+            "slave_clkin_status": "DETECTED",
+        }
+
+    result = lab.capture_once(
+        authorization=True, runner=runner, process_starter=starter,
+        process_checker=lambda: ProcessCheck(ProcessState.CLEAR, ()),
+        clock_checker=clock, sleep_function=lambda _: None,
+    )
+    assert events == ["RX", "TX"]
+    assert result["rf_tx_count"] == 1 and result["automatic_tx_repeats"] == 0
+    assert result["rx_overruns"] == result["tx_underruns"] == 0
+    assert json.loads((raw / "capture_result.json").read_text())["passed"]
+    with pytest.raises(FileExistsError):
+        lab.capture_once(authorization=True, runner=lambda command: pytest.fail("hardware"))

tests/test_lab063_tx_underrun_localization.py

@@ -0,0 +1,111 @@
+"""Lab063: автономные проверки локального сопоставления без SDR."""
+
+from __future__ import annotations
+
+import numpy as np
+
+from experiments import lab063_tx_underrun_localization as lab
+
+
+def test_underrun_scale_is_exact():
+    result = lab.underrun_scale(16_672)
+    assert result["complex_samples"] == 8_336
+    assert result["duration_seconds"] == 0.001042
+    assert result["symbols"] == 521
+    assert np.isclose(result["fraction_of_packet"], 8_336 / 92_256)
+
+
+def test_normalized_match_recovers_offset_gain_and_low_residual():
+    random_generator = np.random.default_rng(6301)
+    transmitted = (random_generator.choice((-1.0, 1.0), 2048)
+                   * np.exp(1j * np.arange(2048) * 0.01))
+    gain = 0.35 - 0.2j
+    search = np.concatenate((np.zeros(321, complex), gain * transmitted, np.zeros(400, complex)))
+    result = lab.normalized_match(transmitted, search)
+    assert result["offset"] == 321
+    assert result["normalized_correlation"] > 0.999999
+    assert abs(result["gain"] - gain) < 1e-12
+    assert result["residual_power"] < 1e-20
+
+
+def test_alignment_localizes_inserted_delay_jump():
+    random_generator = np.random.default_rng(6302)
+    transmitted = random_generator.choice((-1.0, 1.0), 8192).astype(np.complex64)
+    split, inserted = 4096, 700
+    received = np.concatenate((np.zeros(1000), transmitted[:split], np.zeros(inserted), transmitted[split:], np.zeros(1000)))
+    rows = lab.track_alignment(
+        lab.ArrayReader(transmitted), lab.ArrayReader(received), 1000,
+        frame_samples=8192, window_samples=512, step_samples=256, search_margin=1000,
+        reliable_packet_start=0, reliable_packet_end=8192,
+    )
+    verdict = lab.alignment_verdict(rows, inserted)
+    assert verdict["local_delay_discontinuity"]
+    assert any(abs(row["delay_change_samples"]) >= inserted - 1 for row in verdict["jump_candidates"])
+
+
+def test_alignment_compares_reliable_windows_across_packet_boundary():
+    rows = [
+        {
+            "window_index": 4, "tx_sample": 1000, "rx_sample": 2000,
+            "packet_index": 1, "position_inside_packet_samples": 1000,
+            "local_delay_samples": 0, "normalized_correlation": 0.9,
+            "inside_reliable_region": True, "correlation_above_threshold": True,
+            "reliable_for_delay": True,
+        },
+        {
+            "window_index": 9, "tx_sample": 9000, "rx_sample": 10700,
+            "packet_index": 2, "position_inside_packet_samples": 800,
+            "local_delay_samples": 700, "normalized_correlation": 0.9,
+            "inside_reliable_region": True, "correlation_above_threshold": True,
+            "reliable_for_delay": True,
+        },
+    ]
+    verdict = lab.alignment_verdict(rows, 700)
+    assert verdict["local_delay_discontinuity"]
+    assert verdict["jump_candidates"][0]["packet_index"] == 2
+
+
+def test_alignment_discloses_internal_low_correlation_window():
+    rows = [
+        {
+            "window_index": 0, "tx_sample": 1000, "rx_sample": 2000,
+            "packet_index": 1, "position_inside_packet_samples": 1000,
+            "local_delay_samples": 0, "normalized_correlation": 0.9,
+            "inside_reliable_region": True, "correlation_above_threshold": True,
+            "reliable_for_delay": True,
+        },
+        {
+            "window_index": 1, "tx_sample": 1256, "rx_sample": 2956,
+            "packet_index": 1, "position_inside_packet_samples": 1256,
+            "local_delay_samples": 700, "normalized_correlation": 0.1,
+            "inside_reliable_region": True, "correlation_above_threshold": False,
+            "reliable_for_delay": False,
+        },
+    ]
+    verdict = lab.alignment_verdict(rows, 700)
+    assert verdict["internal_low_correlation_windows"]["count"] == 1
+    assert "UNDETERMINED_IN_1_INTERNAL_LOW_CORRELATION_WINDOWS" in verdict["local_delay_discontinuity_scope"]
+    assert verdict["local_delay_discontinuity"] is False
+
+
+def test_classification_marks_global_degradation_without_jump():
+    packets = [{
+        "packet_index": index,
+        "symbol_error_rate": 0.1,
+        "symbol_rms_deviation": 1.2,
+        "matched_residual_db": -1.0,
+    } for index in range(1, 17)]
+    result = lab.classify(packets, {"local_delay_discontinuity": False})
+    assert result["quality_distribution"] == "GLOBAL"
+    assert result["primary_cause_status"] == "PARTIALLY_LOCALIZED"
+
+
+def test_classification_marks_mixed_when_jump_and_global_damage_coexist():
+    packets = [{
+        "packet_index": index,
+        "symbol_error_rate": 0.1,
+        "symbol_rms_deviation": 1.2,
+        "matched_residual_db": -1.0,
+    } for index in range(1, 17)]
+    result = lab.classify(packets, {"local_delay_discontinuity": True})
+    assert result["quality_distribution"] == "MIXED"

tests/test_lab064_rf_level_linearity.py

@@ -0,0 +1,198 @@
+"""Lab064: цифровая лестница, измерительные метрики и запрет RF без разрешения."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+import subprocess
+
+import numpy as np
+import pytest
+
+from experiments import lab064_rf_level_linearity as lab
+from tools.hackrf_process_check import ProcessCheck, ProcessState
+
+
+def test_fixed_operating_point_and_measurement_scope():
+    parameters = lab.parameters()
+    assert parameters["rf_frequency_hz"] == 1_400_000_000
+    assert parameters["sample_rate_hz"] == 8_000_000
+    assert parameters["symbol_rate"] == 20_000
+    assert parameters["samples_per_symbol"] == 400
+    assert parameters["digital_carrier_hz"] == 50_000
+    assert parameters["levels_db_relative_nominal"] == [-18.0, -12.0, -6.0, 0.0]
+    assert parameters["full_phy_packet"] is False
+    assert parameters["tx_vga_db"] == 10
+    assert parameters["rx_lna_db"] == parameters["rx_vga_db"] == 24
+    assert lab.POINT.distance_m == 1.2
+    assert lab.POINT.visibility == "LOS indoor"
+
+
+def test_waveform_has_exact_guards_segments_gaps_and_levels():
+    rows, blocks = lab.prepared_segments()
+    assert lab.TX_SAMPLES == 6_000_000
+    assert lab.TX_SAMPLES / lab.SAMPLE_RATE == 0.75
+    assert all(row["samples"] == 800_000 for row in rows)
+    assert [row["start_sample"] for row in rows] == [800_000, 2_000_000, 3_200_000, 4_400_000]
+    assert all(len(blocks[row["label"]]) == 2 * lab.SEGMENT_SAMPLES for row in rows)
+    assert all(not row["metrics"]["digital_clipping"] for row in rows)
+    steps = [row["tx_input_difference_from_previous_db"] for row in rows[1:]]
+    assert np.allclose(steps, 6.0, atol=0.1)
+
+
+def test_background_windows_cover_both_guards_and_all_gaps():
+    windows = lab.background_windows()
+    assert [row["label"] for row in windows] == [
+        "INITIAL_GUARD", "GAP_L0_L1", "GAP_L1_L2", "GAP_L2_L3", "FINAL_GUARD"
+    ]
+    assert all(row["samples"] == 160_000 for row in windows)
+    zero_ranges = [
+        (0, 800_000),
+        (1_600_000, 2_000_000),
+        (2_800_000, 3_200_000),
+        (4_000_000, 4_400_000),
+        (5_200_000, 6_000_000),
+    ]
+    for row, (low, high) in zip(windows, zero_ranges):
+        assert low <= row["tx_relative_start_sample"]
+        assert row["tx_relative_start_sample"] + row["samples"] <= high
+
+
+def test_background_stability_uses_ac_power_range():
+    stable = lab.summarize_background([
+        {"metrics": {"ac_power_code2": 1.0, "ac_rms_code": 1.0}},
+        {"metrics": {"ac_power_code2": 1.5, "ac_rms_code": np.sqrt(1.5)}},
+    ])
+    changed = lab.summarize_background([
+        {"metrics": {"ac_power_code2": 1.0, "ac_rms_code": 1.0}},
+        {"metrics": {"ac_power_code2": 4.0, "ac_rms_code": 2.0}},
+    ])
+    assert stable["stable"] is True
+    assert changed["stable"] is False
+    assert changed["maximum_to_minimum_ac_power_db"] == pytest.approx(6.020599913)
+
+
+def test_synthetic_linear_channel_recovers_digital_steps():
+    result = lab.synthetic_linearity_gate()
+    assert result["passed"]
+    assert max(abs(value) for value in result["linearity_errors_db"]) < 0.02
+    gains = [row["gain_abs"] for row in result["rows"]]
+    assert np.allclose(gains, 0.37, atol=0.001)
+
+
+def test_counter_parser_keeps_every_intermediate_and_final_observation():
+    log = "0 TX underruns\n1 TX underrun\n3 TX underruns\n3 TX underruns\n"
+    summary = lab.counter_summary(log, "underrun")
+    assert summary["selected_counts"] == [0, 1, 3, 3]
+    assert summary["final_count"] == 3
+    assert summary["maximum_count"] == 3
+    assert summary["clean"] is False
+    assert [row["character_offset"] for row in summary["observations"]] == sorted(
+        row["character_offset"] for row in summary["observations"]
+    )
+    assert lab.counter_summary("0 RX overruns", "overrun")["clean"] is True
+
+
+def test_intermediate_loss_cannot_be_hidden_by_final_zero():
+    tx = lab.counter_summary("0 TX underruns\n1 TX underrun\n0 TX underruns", "underrun")
+    rx = lab.counter_summary("0 RX overruns", "overrun")
+    validity = lab.capture_validity({
+        "passed": False,
+        "rx_clipping": False,
+        "tx_counter_summary": tx,
+        "rx_counter_summary": rx,
+    })
+    assert tx["final_count"] == 0
+    assert tx["maximum_count"] == 1
+    assert validity["valid"] is False
+    assert "TX_MAXIMUM_COUNTER_NOT_ZERO" in validity["invalid_reasons"]
+    assert "CAPTURE_RUNNER_NOT_PASSED" in validity["invalid_reasons"]
+
+
+def test_commands_fix_gains_and_keep_rx_separate_from_tx():
+    receive = lab.transfer_command("rx.cs8", 800_000)
+    transmit = lab.transfer_command("tx.cs8", 100, transmit=True)
+    assert "-r" in receive and "-t" not in receive
+    assert "-t" in transmit and "-r" not in transmit
+    assert receive[receive.index("-f") + 1] == "1400000000"
+    assert receive[receive.index("-s") + 1] == "8000000"
+    assert receive[receive.index("-l") + 1] == receive[receive.index("-g") + 1] == "24"
+    assert transmit[transmit.index("-x") + 1] == "10"
+    assert receive[-5:] == ["-a", "0", "-p", "0", "-B"]
+    assert transmit[-5:] == ["-a", "0", "-p", "0", "-B"]
+
+
+@pytest.mark.parametrize("failure", [None, "clock", "clipping", "strong", "overrun"])
+def test_preflight_never_transmits_and_fails_closed(tmp_path, monkeypatch, failure):
+    raw = tmp_path / "raw"
+    output = tmp_path / "processed"
+    raw.mkdir()
+    output.mkdir()
+    monkeypatch.setattr(lab, "RAW", raw)
+    monkeypatch.setattr(lab, "OUTPUT", output)
+    (raw / "tx_level_staircase.cs8").write_bytes(b"test")
+    metadata = {"tx_sha256": "TEST"}
+    (output / "software_gate.json").write_text(
+        '{"passed": true, "tx_sha256": "TEST"}', encoding="utf-8"
+    )
+    monkeypatch.setattr(lab, "validate_prepared", lambda: metadata)
+    monkeypatch.setattr(
+        lab.lab054.phy.lab045,
+        "_verify_device_inventory",
+        lambda runner: {"passed": True},
+    )
+
+    def clock(point, runner, guard, **kwargs):
+        return {
+            "passed": failure != "clock",
+            "master_reg29": 0x26,
+            "slave_reg29": 0x26,
+            "slave_clkin_status": "DETECTED",
+        }
+
+    def runner(command):
+        assert "-t" not in command
+        if "-r" in command:
+            value = 127 if failure == "clipping" else (110 if failure == "strong" else 1)
+            Path(command[command.index("-r") + 1]).write_bytes(bytes([value, value]) * 800_000)
+        log = "1 RX overruns" if failure == "overrun" else "0 RX overruns"
+        return subprocess.CompletedProcess(command, 0, log, "")
+
+    monkeypatch.setattr(lab.lab054, "disable_clock_outputs", lambda runner: [])
+    options = {
+        "runner": runner,
+        "clock_checker": clock,
+        "process_checker": lambda: ProcessCheck(ProcessState.CLEAR, ()),
+        "sleep_function": lambda _: None,
+    }
+    if failure:
+        with pytest.raises(RuntimeError):
+            lab.preflight(**options)
+    else:
+        assert lab.preflight(**options)["passed"]
+    result = json.loads((raw / "preflight_result.json").read_text(encoding="utf-8"))
+    assert result["rf_tx_count"] == 0
+    assert result["stop_before_tx"] is True
+
+
+def test_second_preflight_is_refused_before_hardware(tmp_path, monkeypatch):
+    monkeypatch.setattr(lab, "RAW", tmp_path)
+    monkeypatch.setattr(lab, "OUTPUT", tmp_path)
+    (tmp_path / "preflight_attempt.json").write_text("{}", encoding="utf-8")
+    (tmp_path / "software_gate.json").write_text(
+        '{"passed": true, "tx_sha256": "TEST"}', encoding="utf-8"
+    )
+    monkeypatch.setattr(lab, "validate_prepared", lambda: {"tx_sha256": "TEST"})
+    with pytest.raises(FileExistsError):
+        lab.preflight(runner=lambda command: pytest.fail("hardware must not run"))
+
+
+def test_capture_refuses_missing_authorization_before_files_or_hardware(tmp_path, monkeypatch):
+    monkeypatch.setattr(lab, "RAW", tmp_path)
+    monkeypatch.setattr(lab, "OUTPUT", tmp_path)
+    with pytest.raises(PermissionError):
+        lab.capture_once(
+            authorization=False,
+            runner=lambda command: pytest.fail("hardware must not run"),
+        )
+    assert not (tmp_path / "hardware_attempt.json").exists()