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a/data/processed/lab067/gap_background_by_packet.png b/data/processed/lab067/gap_background_by_packet.png new file mode 100644 index 0000000..c847d13 Binary files /dev/null and b/data/processed/lab067/gap_background_by_packet.png differ diff --git a/data/processed/lab067/header_bit_errors.csv b/data/processed/lab067/header_bit_errors.csv new file mode 100644 index 0000000..59a5f94 --- /dev/null +++ b/data/processed/lab067/header_bit_errors.csv @@ -0,0 +1,2305 @@ +packet,protected_bit_position,field_bit_position,copy,expected,legacy_received,t2_received,legacy_error,t2_error +1,0,0,1,1,1,1,0,0 +1,1,0,2,1,1,1,0,0 +1,2,0,3,1,1,1,0,0 +1,3,1,1,1,1,1,0,0 +1,4,1,2,1,1,1,0,0 +1,5,1,3,1,1,1,0,0 +1,6,2,1,0,0,0,0,0 +1,7,2,2,0,0,0,0,0 +1,8,2,3,0,0,0,0,0 +1,9,3,1,1,1,1,0,0 +1,10,3,2,1,0,0,1,1 +1,11,3,3,1,1,1,0,0 +1,12,4,1,0,0,0,0,0 +1,13,4,2,0,0,0,0,0 +1,14,4,3,0,0,0,0,0 +1,15,5,1,0,0,0,0,0 +1,16,5,2,0,0,0,0,0 +1,17,5,3,0,0,0,0,0 +1,18,6,1,1,1,1,0,0 +1,19,6,2,1,1,1,0,0 +1,20,6,3,1,1,1,0,0 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a/data/processed/lab067/header_packet_comparison.csv b/data/processed/lab067/header_packet_comparison.csv new file mode 100644 index 0000000..a620cb7 --- /dev/null +++ b/data/processed/lab067/header_packet_comparison.csv @@ -0,0 +1,17 @@ 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0.8564945767463008 + }, + "MIDDLE_2": { + "packets": [ + 9, + 10, + 11, + 12 + ], + "preamble_error_rate": 0.0109375, + "header_error_rate": 0.008680555555555556, + "matched_power": 8.135217881245197, + "residual_power": 2.5979661376039975, + "matched_residual_db": 4.957357028133033, + "initial_frequency_offset_hz": -0.5289199785185232, + "timing_offset_samples": 0.0, + "background_ac_rms": 0.8933914027423544 + }, + "END": { + "packets": [ + 13, + 14, + 15, + 16 + ], + "preamble_error_rate": 0.01171875, + "header_error_rate": 0.022569444444444444, + "matched_power": 8.252049011360924, + "residual_power": 2.5268621492342263, + "matched_residual_db": 5.139802487036124, + "initial_frequency_offset_hz": 2.054832489904668, + "timing_offset_samples": 0.0, + "background_ac_rms": 0.7566484076950799 + } + }, + "failed_packet_classifications": { + "1": "HEADER_SPECIFIC_FAILURE", + "2": "HEADER_SPECIFIC_FAILURE", + "3": "HEADER_SPECIFIC_FAILURE", + "9": "HEADER_SPECIFIC_FAILURE", + "15": "HEADER_SPECIFIC_FAILURE", + "16": "HEADER_SPECIFIC_FAILURE" + }, + "header_error_position_analysis": { + "failed_raw_error_count": 28, + "positions_repeated_between_failed_packets": [], + "systematic_common_position_found": false, + "interpretation": "Позиции ошибок различаются; общей битовой позиции отказа нет." + }, + "local_quality_evidence": { + "passed_local_residual_power_median": 2.2194575703412616, + "failed_local_residual_power_median": 3.0898217885584462, + "passed_local_matched_residual_db_median": 5.906880847643627, + "failed_local_matched_residual_db_median": 4.1461796750995585, + "failed_minus_passed_residual_power_median": 0.8703642182171847, + "failed_minus_passed_matched_residual_db_median": -1.7607011725440689, + "scope": "last 128 preamble symbols plus complete header", + "decision_conditions": { + "tx_and_software_valid": true, + "strict_header_reproduced": true, + "no_common_failed_error_position": true, + "failed_local_residual_at_least_20_percent_higher": true, + "failed_local_matched_residual_at_least_1_db_lower": true, + "receiver_and_oracle_timing_agree": true, + "cfo_mismatch_phase_scale_below_0p1_rad": true, + "candidate_state_independent": true + } + }, + "legacy_t2_header_difference": "PRESENT", + "t2_influence_starts_at_symbol": 1280, + "t2_explanation": "T2 начинает сопровождение после преамбулы; его решения заголовка сравнены побитно со штатным legacy.", + "candidate_analysis": { + "total_strict_candidates": 145, + "true_preamble_position_checks": 27, + "unique_true_preamble_positions": 16, + "duplicate_true_position_checks": 11, + "repeated_prbs_local_maxima": 54, + "zero_gap_candidates": 56, + "unrelated_candidates": 8, + "checks_associated_with_each_real_preamble": { + "1": 12, + "2": 9, + "3": 17, + "4": 1, + "5": 1, + "6": 1, + "7": 1, + "8": 1, + "9": 12, + "10": 1, + "11": 1, + "12": 1, + "13": 1, + "14": 1, + "15": 10, + "16": 11 + }, + "detector_statistics": { + "total_local_peaks": 552181, + "first_stage_candidates": 143335, + "cheap_stage_checked": 143335, + "cheap_stage_rejected": 143036, + "clusters": 36, + "representative_checks": 28, + "alternative_checks": 117, + "inside_accepted_frame": 154 + }, + "candidate_processing_state": "NEW_PACKET_MEASURE_AND_INDEPENDENT_DECODE_PER_CANDIDATE", + "persistent_state_between_rejected_candidates": false, + "accepted_until_changes_only_after_crc_pass": true + }, + "tx_validation": { + "headers_identical_at_all_packet_positions": true, + "all_headers_decode_with_correct_magic_version_length_checksum": true, + "decoded_packet_lengths": [ + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268, + 268 + ], + "software_roundtrip_current": { + "legacy": { + "mode": "legacy", + "candidates": 16, + "header_pass": 16, + "fec_started": 16, + "fec_pass": 16, + "crc_started": 16, + "crc_pass": 16, + "packet_output": 16, + "exact_payload_match": 16, + "packet_indexes": [ + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16 + ], + "exact_ordered_payloads": true, + "t2_state_scope": "NOT_APPLICABLE", + "fallback_between_modes": false, + "passed": true + }, + "t2": { + "mode": "t2", + "candidates": 16, + "header_pass": 16, + "fec_started": 16, + "fec_pass": 16, + "crc_started": 16, + "crc_pass": 16, + "packet_output": 16, + "exact_payload_match": 16, + "packet_indexes": [ + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16 + ], + "exact_ordered_payloads": true, + "t2_state_scope": "NEW_PREAMBLE_ESTIMATE_PER_PACKET", + "fallback_between_modes": false, + "passed": true + } + }, + "legacy_and_t2_16_of_16": true + }, + "header_failure_root_cause": "LOCAL_RF_QUALITY", + "one_small_fix_justified": false, + "branch_decision": "NO_SMALL_FIX_JUSTIFIED", + "small_fix_assessment": { + "evidence_flags": { + "receiver_header_logic": false, + "timing_transition": false, + "carrier_transition": false, + "candidate_state_handling": false + }, + "receiver_header_logic_error_found": false, + "timing_transition_error_found": false, + "carrier_transition_error_explains_six_failures": false, + "candidate_state_error_found": false, + "reason": "TX и программный тракт дают 16/16; ошибки заголовка не имеют общей позиции, timing совпадает, а локальный остаток в failed header-окнах выше." + }, + "achieved_result": "10/16 exact full packets at 500 ksymbol/s, TX VGA 20 dB, hardware-valid OTA capture", + "recommended_next_project_branch": "CRSF / ELRS CONTROL AND TELEMETRY", + "qpsk_note": "QPSK с меньшей символьной скоростью остаётся будущим кандидатом для видеоканала; в Lab067 не реализован.", + "plots": [ + "preamble_errors_by_packet.png", + "header_errors_by_packet.png", + "local_signal_quality_by_packet.png", + "header_error_position_map.png", + "preamble_header_transition.png", + "timing_and_cfo_by_packet.png", + "gap_background_by_packet.png", + "candidate_checks_by_packet.png" + ], + "lab067_commit": "NOT PERFORMED", + "push": "NOT PERFORMED" +} diff --git a/data/processed/lab067/timing_and_cfo_by_packet.png b/data/processed/lab067/timing_and_cfo_by_packet.png new file mode 100644 index 0000000..e33fa19 Binary files /dev/null and b/data/processed/lab067/timing_and_cfo_by_packet.png differ diff --git a/data/processed/lab067/transition_metrics.csv b/data/processed/lab067/transition_metrics.csv new file mode 100644 index 0000000..0c0b6eb --- /dev/null +++ b/data/processed/lab067/transition_metrics.csv @@ -0,0 +1,49 @@ +packet,region,symbols,decision_errors,magnitude_median,magnitude_minimum,phase_error_rms_rad,imaginary_rms,timing_offset_samples +1,preamble_tail,128,0,1.0988442307313235,0.43466351049701235,0.36545432588063453,0.3677449037710503,0 +1,header,144,3,1.0815752733984212,0.5778378379912865,0.6187439503436525,0.551502400297575,0 +1,postheader,128,2,1.1114278978759744,0.4714742841146855,0.5693534448896019,0.49591231338100494,0 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HackRF Plus не опрашивался, аппаратные команды не запускались, RF TX +оставался равным 0. Алгоритмы приёмника, PHY-заголовок, пороги, FEC, CRC и +критерии принятия пакета не менялись. + +Исторический строгий результат Lab066 сохранён: + +- legacy: 10/16 точных пакетов; +- T2: 10/16 точных пакетов; +- приняты пакеты 4–8 и 10–14; +- пакеты 1–3, 9, 15 и 16 остановились на PHY-заголовке. + +## Проверенные исходники + +- TX: 7 352 192 байта, 3 676 096 комплексных отсчётов, SHA-256 + `621b0bb8ec72bba4f522c79a5c77669c850740ea481270c4dcc2a7317819f199`; +- RX: 32 000 000 байт, 16 000 000 комплексных отсчётов, 2,0 с при + 8 Мвыб/с, SHA-256 + `72ff7ddd8b30baa4a5c066361ca1f8dfa664f1da37f65c0c373b211ce6cf00f0`; +- на расчётной позиции каждого из 16 пакетов найден строгий кандидат с + нулевым смещением уточнённой позиции. + +## Текущий вывод + +Все шесть отказов локализованы в PHY-заголовке: преамбулы этих пакетов лежат +внутри диапазона принятых пакетов, но в коротком окне от последних 128 символов +преамбулы до конца заголовка растёт остаток. Медиана `matched/residual` снижается +с 5,906881 dB у принятых пакетов до 4,146180 dB у отказавших. + +28 сырых ошибок заголовка занимают разные позиции; ни одна позиция не +повторяется между отказавшими пакетами. TX-заголовки всех 16 пакетов идентичны, +корректны и дают текущий программный круговой тест 16/16 в legacy и T2. +Систематическая ошибка обработки заголовка не найдена. + +`HEADER_FAILURE_ROOT_CAUSE = LOCAL_RF_QUALITY` + +`ONE SMALL FIX JUSTIFIED = NO` + +Рекомендация: закрыть текущую диагностическую ветку на достигнутом результате +10/16 и перейти к ветке управления и телеметрии CRSF/ELRS. QPSK с меньшей +символьной скоростью можно рассматривать позднее для видеоканала. + +Lab067 не коммитировалась. Push не выполнялся. diff --git a/docs/lab067_offline_result.md b/docs/lab067_offline_result.md new file mode 100644 index 0000000..262170b --- /dev/null +++ b/docs/lab067_offline_result.md @@ -0,0 +1,151 @@ +# Lab067: офлайн-анализ отказов PHY-заголовка Lab066 + +## Результат + +Причина шести отказов совместима с кратковременным ростом несогласованного +остатка именно в области заголовка. Данных за небольшую ошибку логики приёмника, +временной привязки, сопровождения несущей или состояния кандидатов нет. + +`HEADER_FAILURE_ROOT_CAUSE = LOCAL_RF_QUALITY` + +`ONE SMALL FIX JUSTIFIED = NO` + +`BRANCH DECISION = NO_SMALL_FIX_JUSTIFIED` + +Исторический результат Lab066 остаётся 10/16 для legacy и 10/16 для T2. +Oracle-расчёты ниже диагностические и не меняют строгий результат. + +## Целостность и геометрия данных + +SHA-256 TX и RX совпали с зафиксированными значениями Lab066. RX имеет +16 000 000 комплексных отсчётов, 32 000 000 байт и длительность 2,0 с при +8 Мвыб/с. Все 16 ожидаемых позиций подтверждены строгими кандидатами; +уточнённое смещение для каждого пакета равно 0 отсчётов. + +## Сводная таблица + +`P err` означает ошибки 1280-символьной преамбулы. `H raw` означает ошибки +среди 144 переданных символов заголовка. `H vote` означает ошибки после штатной +мягкой суммы трёх повторений. Локальная метрика рассчитана по фиксированному +окну: последние 128 символов преамбулы и весь заголовок. + +| Пакет | Строгий результат | P err | P corr | H raw | Копии 1/2/3 | H vote | Поля с ошибкой | CFO legacy, Hz | CFO T2/P3, Hz | Timing, отсч. | Локальный M/R, dB | RMS | Legacy/T2 diff | Классификация | +|---:|---|---:|---:|---:|---:|---:|---|---:|---:|---:|---:|---:|---:|---| +| 1 | HEADER FAIL | 15 | 0,898114 | 3 | 1/2/0 | 1 | length | -2,662 | -5,388 | 0 | 5,127352 | 0,554156 | 0 | HEADER_SPECIFIC_FAILURE | +| 2 | HEADER FAIL | 10 | 0,892575 | 6 | 3/2/1 | 1 | length | -11,085 | -5,424 | 0 | 3,453566 | 0,671926 | 1 | HEADER_SPECIFIC_FAILURE | +| 3 | HEADER FAIL | 11 | 0,883245 | 3 | 1/1/1 | 1 | magic | -2,144 | 2,717 | 0 | 4,588577 | 0,589619 | 0 | HEADER_SPECIFIC_FAILURE | +| 4 | PASS | 12 | 0,870256 | 0 | 0/0/0 | 0 | none | -4,970 | 0,501 | 0 | 4,498689 | 0,595752 | 0 | PASSED | +| 5 | PASS | 15 | 0,882299 | 0 | 0/0/0 | 0 | none | 3,163 | -1,271 | 0 | 8,091353 | 0,393942 | 0 | PASSED | +| 6 | PASS | 17 | 0,883426 | 0 | 0/0/0 | 0 | none | 5,595 | 1,262 | 0 | 7,317955 | 0,430628 | 0 | PASSED | +| 7 | PASS | 7 | 0,895704 | 1 | 0/0/1 | 0 | none | -1,265 | -1,236 | 0 | 6,319905 | 0,483064 | 1 | PASSED | +| 8 | PASS | 10 | 0,893515 | 3 | 1/2/0 | 0 | none | 9,131 | -0,471 | 0 | 4,986495 | 0,563216 | 0 | PASSED | +| 9 | HEADER FAIL | 13 | 0,883101 | 4 | 1/2/1 | 1 | length | 6,363 | -1,982 | 0 | 3,775053 | 0,647511 | 0 | HEADER_SPECIFIC_FAILURE | +| 10 | PASS | 14 | 0,875698 | 1 | 0/0/1 | 0 | none | 10,521 | 4,784 | 0 | 4,964081 | 0,564672 | 0 | PASSED | +| 11 | PASS | 14 | 0,873945 | 0 | 0/0/0 | 0 | none | -4,338 | 5,576 | 0 | 5,008753 | 0,561775 | 0 | PASSED | +| 12 | PASS | 15 | 0,869109 | 0 | 0/0/0 | 0 | none | -14,662 | -12,429 | 0 | 6,568840 | 0,469416 | 0 | PASSED | +| 13 | PASS | 19 | 0,887088 | 0 | 0/0/0 | 0 | none | 2,006 | -3,871 | 0 | 7,449922 | 0,424135 | 0 | PASSED | +| 14 | PASS | 13 | 0,897960 | 1 | 0/0/1 | 0 | none | 7,211 | 3,326 | 0 | 5,493857 | 0,531260 | 1 | PASSED | +| 15 | HEADER FAIL | 12 | 0,888738 | 7 | 2/2/3 | 2 | magic, length | -5,732 | -3,520 | 0 | 4,055203 | 0,626960 | 0 | HEADER_SPECIFIC_FAILURE | +| 16 | HEADER FAIL | 16 | 0,880510 | 5 | 1/2/2 | 2 | version, length | 4,734 | 228,105 | 0 | 4,237157 | 0,613963 | 107 | HEADER_SPECIFIC_FAILURE | + +Полные строки битов `EXPECTED HEADER BITS`, `RECEIVED RAW HEADER BITS`, +`VOTED HEADER BITS`, причины строгого отказа и позиции ошибок находятся в +`summary.json` и `header_packet_comparison.csv`. + +## Преамбула: распределения + +| Метрика | Passed min / median / max | Failed min / median / max | +|---|---:|---:| +| Ошибки, бит | 7 / 14 / 19 | 10 / 12,5 / 16 | +| Доля ошибок | 0,005469 / 0,010938 / 0,014844 | 0,007813 / 0,009766 / 0,012500 | +| Корреляция | 0,869109 / 0,882862 / 0,897960 | 0,880510 / 0,885991 / 0,898114 | +| RMS отклонение | 0,489327 / 0,532530 / 0,567221 | 0,489090 / 0,523373 / 0,538197 | +| Matched power | 7,774573 / 8,330450 / 8,667865 | 7,968245 / 8,385475 / 8,982336 | +| Residual power | 2,053382 / 2,346123 / 2,645143 | 2,118219 / 2,258980 / 2,379173 | +| Matched/residual, dB | 4,924949 / 5,473142 / 6,208025 | 5,381167 / 5,624735 / 6,212224 | + +Преамбула не отделяет отказавшие пакеты от принятых: медианные физические +показатели failed-группы не хуже. Ухудшение появляется после последних +128 символов преамбулы и внутри заголовка. В этом окне медиана residual power +равна 3,089822 у failed и 2,219458 у passed; медиана `matched/residual` равна +4,146180 и 5,906881 dB соответственно. + +## Карта ошибок заголовка + +У отказавших пакетов найдено 28 сырых ошибочных решений. Ни одна позиция +не повторяется в двух failed-пакетах. Ошибки встречаются во всех трёх копиях: +9, 11 и 8 ошибок соответственно. После мягкой суммы остаётся 1 ошибка у +пакетов 1, 2, 3 и 9 и 2 ошибки у пакетов 15 и 16. + +Общей позиции, стабильно плохой копии, концентрации только в начале или только +в конце заголовка нет. Это не поддерживает гипотезу о систематической ошибке +формата или индексации заголовка. + +## Переход преамбула → заголовок + +На последних 128 символах преамбулы медиана фазовой RMS-ошибки составляет +0,361 rad у passed и 0,541 rad у failed. На заголовке значения составляют +0,388 и 0,627 rad. У failed-пакетов ошибки заголовка лежат в диапазоне 3–7 +сырых решений, а в первых 128 символах после заголовка медиана ошибок равна 0. + +Медианная амплитуда остаётся близкой к единице. Общего скачка амплитуды, +смещения точки выборки или одинакового фазового скачка не найдено. Наблюдается +короткое ухудшение фазового остатка, различное по позиции в каждом пакете. + +## Timing, CFO и T2 + +Штатное timing-смещение и диагностическое oracle-смещение равны 0 отсчётов для +всех 16 пакетов. Расхождение legacy CFO с контрольной оценкой создаёт за весь +144-символьный заголовок фазовую ошибку от -0,02488 до +0,02079 rad. Этот +масштаб недостаточен для объяснения 1–2 ошибок после мягкого голосования. + +T2 начинает влиять с символа 1280, то есть с начала заголовка. Для пакетов +1, 3, 4–6, 8–13 и 15 его жёсткие решения заголовка побитно совпадают с legacy. +Различия равны одному биту для пакетов 2, 7 и 14. У пакета 16 оценка P3 стала +выбросом 228,105 Hz и изменила 107 решений. Это ухудшение одного пакета не +объясняет шесть legacy-отказов и не даёт основания менять T2 в этой ветке. + +## Паузы и положение в сеансе + +Для пакета 1 исследован внешний guard длиной 800 000 отсчётов. Для пакетов +2–16 исследованы реальные паузы по 40 000 отсчётов. AC RMS перед пакетами +лежит в диапазоне 0,744879–1,302893. Признаков хвоста предыдущей формы по +критерию превышения первых 8000 отсчётов над серединой паузы на 3 dB нет. +После пакета 16 отдельно проверен конечный guard. + +Группы START и END имеют больше ошибок заголовка, чем MIDDLE 1, однако пакет 9 +отказывает в середине, пакеты 4, 13 и 14 проходят, а timing, CFO и фон не дают +монотонного временного тренда. Расположение пакетов не доказывает +`START_END_TRANSIENT`. + +## 145 кандидатов + +Строгий журнал содержит 145 проверок: + +- 27 проверок на точных позициях преамбулы, 16 уникальных позиций и 11 + повторных проверок той же позиции; +- 54 локальных максимума повторяющейся PRBS-структуры внутри формы пакета; +- 56 кандидатов в нулевых паузах; +- 8 кандидатов вне этих областей. + +Каждый кандидат получает новый `PacketMeasure` и полностью независимый строгий +проход. Состояние после отказа не переносится. Граница `accepted_until` +изменяется только после CRC PASS. Большое число кандидатов увеличивает объём +работы, но не объясняет выборочные ошибки настоящих заголовков. + +## TX и решение по ветке + +Все 16 TX-заголовков побитно идентичны. Magic `0xD391`, версия 1, длина +268 байт, checksum и тройное повторение корректны. Текущий программный прогон +дал 16/16 точных пакетов и для legacy, и для T2. + +Конкретная небольшая ошибка приёмника, которая объяснила бы значимую часть +шести отказов, не найдена. Зафиксирован достигнутый результат: 10/16 точных +полных пакетов при 500 ксимв/с и TX VGA 20 dB в аппаратно валидной OTA-записи. +Текущую диагностическую ветку следует закрыть. Следующая проектная ветка: +CRSF/ELRS для управления и телеметрии. + +QPSK с меньшей скоростью символов остаётся будущим кандидатом для видеоканала. +В Lab067 QPSK, новый PHY и изменения BPSK не выполнялись. + +RF TX = 0. Lab067 не коммитировалась. Push не выполнялся. diff --git a/experiments/lab067_header_failure_analysis.py b/experiments/lab067_header_failure_analysis.py new file mode 100644 index 0000000..874683f --- /dev/null +++ b/experiments/lab067_header_failure_analysis.py @@ -0,0 +1,906 @@ +"""Lab067: офлайн-анализ отказов PHY-заголовка в сохранённой записи Lab066. + +Строгий результат Lab066 загружается без изменений. Известный TX используется +только после этого результата для диагностического подсчёта ошибок. +Аппаратные команды и передача RF в этой лаборатории отсутствуют. +""" + +from __future__ import annotations + +import csv +import hashlib +import json +import math +from pathlib import Path +import struct +import sys +from typing import Any + +if __package__ in (None, ""): + sys.path.insert(0, str(Path(__file__).resolve().parents[1])) + +import matplotlib + +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import numpy as np + +from experiments import lab053_packet_processing as packet_processing +from experiments import lab058_abab_symbol_quality as symbol_quality +from experiments import lab066_full_packet_rf_retest as lab066 +from protocol import bpsk_carrier_tracking as carrier_tracking + + +ROOT = Path(__file__).resolve().parents[1] +RAW = ROOT / "data/raw/lab066" +LAB066 = ROOT / "data/processed/lab066" +OUTPUT = ROOT / "data/processed/lab067" +TX_PATH = RAW / "tx_stream.cs8" +RX_PATH = RAW / "rx_stream.cs8" +TX_SHA256 = "621b0bb8ec72bba4f522c79a5c77669c850740ea481270c4dcc2a7317819f199" +RX_SHA256 = "72ff7ddd8b30baa4a5c066361ca1f8dfa664f1da37f65c0c373b211ce6cf00f0" +RX_BYTES = 32_000_000 +RX_SAMPLES = 16_000_000 +SAMPLE_RATE_HZ = 8_000_000 +SYMBOL_RATE = 500_000 +SAMPLES_PER_SYMBOL = 16 +PREAMBLE_SYMBOLS = 1280 +HEADER_SYMBOLS = 144 +HEADER_BITS = 48 +HEADER_REPETITION = 3 +POSTHEADER_SYMBOLS = 128 +FAILED_PACKETS = {1, 2, 3, 9, 15, 16} +PASSED_PACKETS = set(range(1, 17)) - FAILED_PACKETS + + +def sha256(path: Path) -> str: + digest = hashlib.sha256() + with path.open("rb") as stream: + for block in iter(lambda: stream.read(1024 * 1024), b""): + digest.update(block) + return digest.hexdigest() + + +def save_json(path: Path, value: Any) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + path.write_text( + json.dumps(value, ensure_ascii=False, indent=2, allow_nan=False) + "\n", + encoding="utf-8", + ) + + +def bits_text(bits: np.ndarray) -> str: + return "".join(str(int(value)) for value in np.asarray(bits).reshape(-1)) + + +def finite(value: float) -> float | None: + return float(value) if np.isfinite(value) else None + + +def source_integrity() -> tuple[dict, dict, dict]: + """Проверить неизменность Lab066 до любой oracle-диагностики.""" + capture = json.loads((LAB066 / "capture_result.json").read_text(encoding="utf-8")) + strict = json.loads((LAB066 / "rf_result.json").read_text(encoding="utf-8")) + metadata = json.loads((LAB066 / "preparation.json").read_text(encoding="utf-8")) + tx_digest = sha256(TX_PATH) + rx_digest = sha256(RX_PATH) + integrity = { + "tx_path": str(TX_PATH.relative_to(ROOT)), + "tx_bytes": TX_PATH.stat().st_size, + "tx_samples": TX_PATH.stat().st_size // 2, + "tx_sha256": tx_digest, + "rx_path": str(RX_PATH.relative_to(ROOT)), + "rx_bytes": RX_PATH.stat().st_size, + "rx_samples": RX_PATH.stat().st_size // 2, + "rx_duration_seconds": (RX_PATH.stat().st_size // 2) / SAMPLE_RATE_HZ, + "rx_sha256": rx_digest, + "sample_rate_hz": SAMPLE_RATE_HZ, + } + if ( + tx_digest != TX_SHA256 + or rx_digest != RX_SHA256 + or integrity["rx_bytes"] != RX_BYTES + or integrity["rx_samples"] != RX_SAMPLES + or metadata.get("tx_sha256") != TX_SHA256 + or metadata.get("parameters", {}).get("sample_rate_hz") != SAMPLE_RATE_HZ + or capture.get("rx_sha256") != RX_SHA256 + or capture.get("rf_tx_count") != 1 + or capture.get("automatic_tx_repeats") != 0 + or capture.get("passed") is not True + or strict.get("capture_valid") is not True + ): + raise RuntimeError("Исходники или аппаратная валидность Lab066 не подтверждены") + for mode in ("run_a_legacy", "run_b_t2"): + result = strict[mode] + if ( + result.get("header_pass") != 10 + or result.get("packet_output") != 10 + or result.get("exact_payload_match") != 10 + or result.get("packet_indexes") != sorted(PASSED_PACKETS) + ): + raise RuntimeError("Исторический строгий результат Lab066 изменился") + return integrity, metadata, strict + + +def extract_symbols( + received: symbol_quality.Cs8File, + frame_start: int, + symbol_count: int, + mode: str, +) -> dict: + """Повторить штатные timing/carrier операции для известного окна пакета.""" + processor = packet_processing.PacketProcessor(carrier_tracking_mode=mode) + length = (symbol_count + 42) * SAMPLES_PER_SYMBOL + segment = received.read(frame_start, length).astype(np.complex64) + matched = processor.filter(processor.shift(segment)) + nominal = 16 * SAMPLES_PER_SYMBOL + processor.taps.size - 1 + timing = int(processor.timing(matched, nominal, processor.expected)) + initial = processor.carrier( + matched, nominal, timing, processor.bits, len(processor.bits) + ) + symbols = matched[ + nominal + timing: + nominal + timing + symbol_count * SAMPLES_PER_SYMBOL: + SAMPLES_PER_SYMBOL + ].astype(np.complex128) + if symbols.size != symbol_count or initial["abs_h"] == 0: + raise RuntimeError("Не удалось извлечь диагностическое окно символов") + times = (np.arange(symbol_count, dtype=np.float64) + 0.5) / SYMBOL_RATE + if mode == "legacy": + corrected = symbols * np.exp(-2j * np.pi * initial["cfo_hz"] * times) + gain = initial["abs_h"] * np.exp(1j * initial["phase_rad"]) + corrected /= gain + phase_trace = ( + initial["phase_rad"] + 2 * np.pi * initial["cfo_hz"] * times + ) + frequency_trace = np.full(symbol_count, initial["cfo_hz"], dtype=float) + detector_error = np.angle(corrected * np.where(corrected.real >= 0, 1, -1)) + estimate = { + "frequency_hz": float(initial["cfo_hz"]), + "gain": complex(gain), + "phase_fit_rmse_rad": None, + "squared_coherence": None, + } + else: + estimate_value = carrier_tracking.estimate_p3( + symbols[:PREAMBLE_SYMBOLS], processor.expected, SYMBOL_RATE + ) + tracked = carrier_tracking.track_t2( + symbols, SYMBOL_RATE, estimate_value, start_index=PREAMBLE_SYMBOLS + ) + corrected = tracked.corrected.copy() + phase_trace = tracked.phase_rad.copy() + frequency_trace = tracked.frequency_hz.copy() + detector_error = tracked.detector_error_rad.copy() + estimate = { + "frequency_hz": float(estimate_value.frequency_hz), + "gain": complex(estimate_value.gain), + "phase_fit_rmse_rad": float(estimate_value.phase_fit_rmse_rad), + "squared_coherence": float(estimate_value.squared_coherence), + } + return { + "corrected": corrected, + "raw_symbols": symbols, + "matched": matched, + "hard_bits": (corrected.real >= 0).astype(np.uint8), + "timing_samples": timing, + "timing_fraction": timing / SAMPLES_PER_SYMBOL, + "nominal": nominal, + "sample_positions": frame_start + nominal + timing + np.arange(symbol_count) * SAMPLES_PER_SYMBOL, + "initial": estimate, + "phase_trace": phase_trace, + "frequency_trace": frequency_trace, + "detector_error": detector_error, + } + + +def reference_sync_diagnostic(extracted: dict, expected_bits: np.ndarray) -> dict: + """Oracle-проверка timing/CFO после штатного результата, без влияния на него.""" + expected = 2.0 * np.asarray(expected_bits, dtype=np.float64) - 1.0 + indexes = np.arange(len(expected), dtype=np.int64) + candidates = [] + for offset in range(-SAMPLES_PER_SYMBOL // 2, SAMPLES_PER_SYMBOL // 2 + 1): + start = extracted["nominal"] + offset + symbols = extracted["matched"][ + start:start + len(expected) * SAMPLES_PER_SYMBOL:SAMPLES_PER_SYMBOL + ].astype(np.complex128) + if len(symbols) != len(expected): + continue + frequency, gain, coherence = symbol_quality.fit_cfo_gain( + symbols, expected, indexes, SYMBOL_RATE, len(expected) + ) + candidates.append((coherence, offset, frequency, gain)) + coherence, timing, frequency, gain = max(candidates, key=lambda item: item[0]) + return { + "scope": "KNOWN_BITS_AFTER_STRICT_VERDICT", + "timing_offset_samples": int(timing), + "timing_fraction": timing / SAMPLES_PER_SYMBOL, + "frequency_hz": float(frequency), + "gain_real": float(gain.real), + "gain_imag": float(gain.imag), + "coherence": float(coherence), + } + + +def physical_metrics(extracted: dict, expected_bits: np.ndarray, selected: slice) -> dict: + expected = 2.0 * np.asarray(expected_bits[selected], dtype=np.float64) - 1.0 + raw = extracted["raw_symbols"][selected] + indexes = np.arange(len(extracted["raw_symbols"]), dtype=np.float64)[selected] + frequency = extracted["initial"]["frequency_hz"] + times = (indexes + 0.5) / SYMBOL_RATE + derotated = raw * np.exp(-2j * np.pi * frequency * times) + gain = complex(extracted["initial"]["gain"]) + predicted = gain * expected + residual = derotated - predicted + matched_power = float(np.mean(abs(predicted) ** 2)) + residual_power = float(np.mean(abs(residual) ** 2)) + normalized = derotated / gain + errors = int(np.count_nonzero((normalized.real >= 0) != (expected > 0))) + correlation = float( + abs(np.vdot(expected, raw)) + / math.sqrt(float(np.vdot(expected, expected).real * np.vdot(raw, raw).real) + 1e-30) + ) + return { + "symbols": int(len(expected)), + "errors": errors, + "error_rate": errors / len(expected), + "correlation": correlation, + "matched_component_power": matched_power, + "residual_power": residual_power, + "matched_residual_db": finite(10 * np.log10(matched_power / residual_power)), + "rms_symbol_deviation": float(np.sqrt(residual_power / matched_power)), + } + + +def header_diagnostics(received_soft: np.ndarray, expected_bits: np.ndarray) -> dict: + soft = np.asarray(received_soft[:HEADER_SYMBOLS], dtype=np.float64) + raw = (soft >= 0.0).astype(np.uint8) + expected = np.asarray(expected_bits[:HEADER_SYMBOLS], dtype=np.uint8) + raw_groups = raw.reshape(HEADER_BITS, HEADER_REPETITION) + expected_groups = expected.reshape(HEADER_BITS, HEADER_REPETITION) + voted = (np.sum(soft.reshape(HEADER_BITS, HEADER_REPETITION), axis=1) >= 0.0).astype(np.uint8) + expected_voted = expected_groups[:, 0] + fields = lab066.phy.lab045.lab044.bits_to_bytes(voted) + magic, version, length, checksum = struct.unpack( + lab066.phy.lab045.PHY_HEADER_FIELDS_FORMAT, fields + ) + decoded = lab066.phy.lab045.decode_phy_header_soft(soft) + field_errors = { + "magic": int(np.count_nonzero(voted[:16] != expected_voted[:16])), + "version": int(np.count_nonzero(voted[16:24] != expected_voted[16:24])), + "length": int(np.count_nonzero(voted[24:40] != expected_voted[24:40])), + "checksum": int(np.count_nonzero(voted[40:48] != expected_voted[40:48])), + } + return { + "expected_header_bits": bits_text(expected), + "received_raw_header_bits": bits_text(raw), + "raw_header_errors": int(np.count_nonzero(raw != expected)), + "copy_errors": [ + int(np.count_nonzero(raw_groups[:, index] != expected_groups[:, index])) + for index in range(HEADER_REPETITION) + ], + "voted_header_bits": bits_text(voted), + "expected_voted_bits": bits_text(expected_voted), + "voted_header_errors": int(np.count_nonzero(voted != expected_voted)), + "magic_errors": field_errors["magic"], + "version_errors": field_errors["version"], + "length_errors": field_errors["length"], + "checksum_errors": field_errors["checksum"], + "decoded_magic": magic, + "decoded_version": version, + "decoded_length": length, + "decoded_checksum": checksum, + "accepted": bool(decoded["passed"]), + "reason": decoded["reason"], + "raw_error_positions": np.flatnonzero(raw != expected).astype(int).tolist(), + "voted_error_positions": np.flatnonzero(voted != expected_voted).astype(int).tolist(), + } + + +def gap_metrics(received: symbol_quality.Cs8File, start: int, count: int) -> dict: + values = received.read(start, count).astype(np.complex128) + mean = np.mean(values) + centered = values - mean + edge = min(count // 4, 8000) + first_power = float(np.mean(abs(centered[:edge]) ** 2)) + middle_start = max(edge, count // 2 - edge // 2) + middle_power = float(np.mean(abs(centered[middle_start:middle_start + edge]) ** 2)) + tail_ratio_db = float(10 * np.log10(max(first_power, 1e-30) / max(middle_power, 1e-30))) + return { + "length_samples": count, + "duration_seconds": count / SAMPLE_RATE_HZ, + "background_ac_rms": float(np.sqrt(np.mean(abs(centered) ** 2))), + "mean_i": float(mean.real), + "mean_q": float(mean.imag), + "residual_energy_mean": float(np.mean(abs(centered) ** 2)), + "leading_edge_to_middle_db": tail_ratio_db, + "previous_waveform_tail_detected": bool(tail_ratio_db > 3.0), + } + + +def strict_candidate_for_packet(rows: list[dict], expected: int) -> dict | None: + candidates = [row for row in rows if abs(int(row["absolute_refined"]) - expected) <= 64] + if not candidates: + return None + return min( + candidates, + key=lambda row: ( + abs(int(row["absolute_refined"]) - expected), + int(row["absolute_refined"]), + ), + ) + + +def candidate_analysis(strict: dict, expected_starts: list[int]) -> tuple[dict, list[dict]]: + rows = strict["run_a_legacy"]["rows"] + packet_samples = lab066.PACKET_SAMPLES + gap_intervals = [] + metadata = json.loads((LAB066 / "preparation.json").read_text(encoding="utf-8")) + stream_start = strict["location_after_strict_runs"]["stream_rx_start_sample"] + for layout in metadata["layout"][:-1]: + low = stream_start + layout["following_gap_start_sample"] + gap_intervals.append((low, low + layout["following_gap_samples"])) + output_rows = [] + true = repeated = gaps = unrelated = 0 + true_positions = set() + per_packet = {index: 0 for index in range(1, 17)} + for number, row in enumerate(rows, start=1): + position = int(row["absolute_refined"]) + distances = np.abs(np.asarray(expected_starts, dtype=np.int64) - position) + nearest_index = int(np.argmin(distances)) + 1 + delta = position - expected_starts[nearest_index - 1] + in_gap = any(low <= position < high for low, high in gap_intervals) + if abs(delta) <= 64: + category = "TRUE_PREAMBLE_POSITION" + true += 1 + true_positions.add((nearest_index, position)) + elif -64 <= delta < packet_samples: + category = "REPEATED_PRBS_LOCAL_MAXIMUM" + repeated += 1 + elif in_gap: + category = "ZERO_GAP" + gaps += 1 + else: + category = "UNRELATED" + unrelated += 1 + if category in {"TRUE_PREAMBLE_POSITION", "REPEATED_PRBS_LOCAL_MAXIMUM"}: + per_packet[nearest_index] += 1 + output_rows.append({ + "candidate_number": number, + "position": position, + "nearest_packet": nearest_index, + "difference_samples": delta, + "category": category, + "strict_reason": row["reason"], + }) + summary = { + "total_strict_candidates": len(rows), + "true_preamble_position_checks": true, + "unique_true_preamble_positions": len(true_positions), + "duplicate_true_position_checks": true - len(true_positions), + "repeated_prbs_local_maxima": repeated, + "zero_gap_candidates": gaps, + "unrelated_candidates": unrelated, + "checks_associated_with_each_real_preamble": per_packet, + "detector_statistics": strict["run_a_legacy"]["detector_statistics"], + "candidate_processing_state": "NEW_PACKET_MEASURE_AND_INDEPENDENT_DECODE_PER_CANDIDATE", + "persistent_state_between_rejected_candidates": False, + "accepted_until_changes_only_after_crc_pass": True, + } + return summary, output_rows + + +def distribution(rows: list[dict], packets: set[int], key: str) -> dict: + values = np.asarray([row[key] for row in rows if row["packet"] in packets], dtype=float) + return { + "minimum": float(np.min(values)), + "median": float(np.median(values)), + "maximum": float(np.max(values)), + "values": {str(row["packet"]): row[key] for row in rows if row["packet"] in packets}, + } + + +def assign_classifications(rows: list[dict]) -> None: + passed = [row for row in rows if row["packet"] in PASSED_PACKETS] + limits = { + "preamble_errors_max": max(row["preamble_errors"] for row in passed), + "preamble_mr_p10": float(np.percentile([row["preamble_matched_residual_db"] for row in passed], 10)), + "preamble_rms_p90": float(np.percentile([row["preamble_rms_symbol_deviation"] for row in passed], 90)), + "correlation_p10": float(np.percentile([row["preamble_correlation"] for row in passed], 10)), + } + for row in rows: + if row["packet"] in PASSED_PACKETS: + row["classification"] = "PASSED" + continue + physical_bad = sum(( + row["preamble_errors"] > limits["preamble_errors_max"], + row["preamble_matched_residual_db"] < limits["preamble_mr_p10"], + row["preamble_rms_symbol_deviation"] > limits["preamble_rms_p90"], + row["preamble_correlation"] < limits["correlation_p10"], + )) + if row["preamble_errors"] > limits["preamble_errors_max"]: + row["classification"] = "PREAMBLE_ALREADY_BAD" + elif physical_bad >= 2: + row["classification"] = "LOCAL_RF_DEGRADATION" + elif row["header_voted_errors"] > 0: + row["classification"] = "HEADER_SPECIFIC_FAILURE" + else: + row["classification"] = "NOT_LOCALIZED" + + +def group_summary(rows: list[dict]) -> dict: + groups = {"START": range(1, 5), "MIDDLE_1": range(5, 9), "MIDDLE_2": range(9, 13), "END": range(13, 17)} + result = {} + for name, indexes in groups.items(): + selected = [row for row in rows if row["packet"] in indexes] + result[name] = { + "packets": list(indexes), + "preamble_error_rate": float(np.mean([row["preamble_error_rate"] for row in selected])), + "header_error_rate": float(np.mean([row["header_raw_errors"] / HEADER_SYMBOLS for row in selected])), + "matched_power": float(np.mean([row["local_matched_power"] for row in selected])), + "residual_power": float(np.mean([row["local_residual_power"] for row in selected])), + "matched_residual_db": float(10 * np.log10( + np.mean([row["local_matched_power"] for row in selected]) + / np.mean([row["local_residual_power"] for row in selected]) + )), + "initial_frequency_offset_hz": float(np.mean([row["legacy_initial_frequency_hz"] for row in selected])), + "timing_offset_samples": float(np.mean([row["timing_offset_samples"] for row in selected])), + "background_ac_rms": float(np.mean([row["gap_background_ac_rms"] for row in selected])), + } + return result + + +def make_plots(rows: list[dict], transitions: dict[int, dict], candidates: dict) -> list[str]: + OUTPUT.mkdir(parents=True, exist_ok=True) + packets = [row["packet"] for row in rows] + colors = ["C3" if packet in FAILED_PACKETS else "C0" for packet in packets] + plots = [] + + def save(name: str) -> None: + plt.tight_layout() + plt.savefig(OUTPUT / name, dpi=160) + plt.close() + plots.append(name) + + plt.figure(figsize=(10, 4.5)) + plt.bar(packets, [row["preamble_errors"] for row in rows], color=colors) + plt.xticks(packets); plt.xlabel("Пакет"); plt.ylabel("Ошибки преамбулы, бит") + plt.grid(axis="y", alpha=.25); save("preamble_errors_by_packet.png") + + plt.figure(figsize=(10, 4.5)) + x = np.arange(1, 17) + plt.bar(x - .18, [row["header_raw_errors"] for row in rows], width=.36, label="raw") + plt.bar(x + .18, [row["header_voted_errors"] for row in rows], width=.36, label="voted", color=colors) + plt.xticks(x); plt.xlabel("Пакет"); plt.ylabel("Ошибки PHY header, бит"); plt.legend() + plt.grid(axis="y", alpha=.25); save("header_errors_by_packet.png") + + figure, axes = plt.subplots(3, 1, figsize=(10, 8), sharex=True) + axes[0].bar(packets, [row["local_matched_power"] for row in rows], color=colors) + axes[0].set_ylabel("Matched power") + axes[1].bar(packets, [row["local_residual_power"] for row in rows], color=colors) + axes[1].set_ylabel("Residual power") + axes[2].bar(packets, [row["local_matched_residual_db"] for row in rows], color=colors) + axes[2].set_ylabel("Matched/residual, dB"); axes[2].set_xlabel("Пакет"); axes[2].set_xticks(packets) + for axis in axes: axis.grid(axis="y", alpha=.25) + save("local_signal_quality_by_packet.png") + + matrix = np.zeros((16, HEADER_SYMBOLS), dtype=np.uint8) + for row in rows: + for position in row["header_raw_error_positions"]: + matrix[row["packet"] - 1, position] = 1 + plt.figure(figsize=(13, 5)) + plt.imshow(matrix, aspect="auto", interpolation="nearest", cmap="Reds") + plt.xlabel("Позиция защищённого PHY header, 0...143"); plt.ylabel("Пакет") + plt.yticks(np.arange(16), np.arange(1, 17)); plt.colorbar(label="Ошибка") + save("header_error_position_map.png") + + representative = [4, 1, 14, 16] + figure, axes = plt.subplots(len(representative), 3, figsize=(13, 10), sharex=True) + for line, packet in enumerate(representative): + values = transitions[packet] + x = np.arange(-128, HEADER_SYMBOLS + 128) + axes[line, 0].plot(x, values["corrected_real"], lw=.7) + axes[line, 0].scatter(x[values["errors"]], np.asarray(values["corrected_real"])[values["errors"]], s=12, color="red") + axes[line, 1].plot(x, values["corrected_imag"], lw=.7) + axes[line, 2].plot(x, values["phase_error_rad"], lw=.7) + for axis in axes[line]: + axis.axvline(0, color="black", lw=.8); axis.axvline(HEADER_SYMBOLS, color="black", lw=.8) + axis.grid(alpha=.2) + axes[line, 0].set_ylabel(f"P{packet}") + axes[0, 0].set_title("Re, ошибки красным"); axes[0, 1].set_title("Im"); axes[0, 2].set_title("Фазовая ошибка, rad") + for axis in axes[-1]: axis.set_xlabel("Символ относительно начала header") + save("preamble_header_transition.png") + + figure, axes = plt.subplots(2, 1, figsize=(10, 6), sharex=True) + axes[0].bar(packets, [row["timing_offset_samples"] for row in rows], color=colors) + axes[0].set_ylabel("Timing, samples") + axes[1].plot(packets, [row["legacy_initial_frequency_hz"] for row in rows], "o-", label="legacy") + axes[1].plot(packets, [row["t2_initial_frequency_hz"] for row in rows], "s-", label="T2/P3") + axes[1].set_ylabel("CFO, Hz"); axes[1].set_xlabel("Пакет"); axes[1].legend() + for axis in axes: axis.grid(alpha=.25) + save("timing_and_cfo_by_packet.png") + + plt.figure(figsize=(10, 4.5)) + plt.bar(packets, [row["gap_background_ac_rms"] for row in rows], color=colors) + plt.xlabel("Пакет"); plt.ylabel("AC RMS перед пакетом"); plt.xticks(packets); plt.grid(axis="y", alpha=.25) + save("gap_background_by_packet.png") + + per_packet = candidates["checks_associated_with_each_real_preamble"] + plt.figure(figsize=(10, 4.5)) + plt.bar(packets, [per_packet[str(packet)] if str(packet) in per_packet else per_packet[packet] for packet in packets], color=colors) + plt.xlabel("Пакет"); plt.ylabel("Строгие проверки кандидатов"); plt.xticks(packets); plt.grid(axis="y", alpha=.25) + save("candidate_checks_by_packet.png") + return plots + + +def write_csvs(rows: list[dict], candidate_rows: list[dict], bit_rows: list[dict], transition_rows: list[dict]) -> None: + main_fields = [ + "packet", "strict_result", "candidate_position", "expected_packet_position", "candidate_difference_samples", + "preamble_errors", "preamble_error_rate", "preamble_correlation", "header_raw_errors", "header_voted_errors", + "header_copy_1_errors", "header_copy_2_errors", "header_copy_3_errors", "magic_errors", "version_errors", + "length_errors", "checksum_errors", "expected_header_bits", "received_raw_header_bits", "voted_header_bits", + "header_accepted", "header_reason", "legacy_header_bits", "t2_header_bits", + "legacy_initial_frequency_hz", "t2_initial_frequency_hz", "reference_frequency_hz", + "legacy_frequency_error_vs_reference_hz", "initial_phase_error_rad", "timing_offset_samples", "fractional_timing_offset", + "reference_timing_offset_samples", "reference_fractional_timing_offset", "local_matched_power", "local_residual_power", + "local_matched_residual_db", "rms_symbol_deviation", "legacy_t2_header_differences", "classification", + ] + with (OUTPUT / "header_packet_comparison.csv").open("w", newline="", encoding="utf-8-sig") as stream: + writer = csv.DictWriter(stream, fieldnames=main_fields, extrasaction="ignore") + writer.writeheader(); writer.writerows(rows) + for name, values in ( + ("header_bit_errors.csv", bit_rows), + ("candidate_analysis.csv", candidate_rows), + ("transition_metrics.csv", transition_rows), + ): + with (OUTPUT / name).open("w", newline="", encoding="utf-8-sig") as stream: + writer = csv.DictWriter(stream, fieldnames=list(values[0])) + writer.writeheader(); writer.writerows(values) + + +def analyze() -> dict: + integrity, metadata, strict = source_integrity() + received = symbol_quality.Cs8File(RX_PATH) + stream_start = int(strict["location_after_strict_runs"]["stream_rx_start_sample"]) + expected_starts = [stream_start + int(item["start_sample"]) for item in metadata["layout"]] + plans = lab066.plans() + packet_rows: list[dict] = [] + bit_rows: list[dict] = [] + transition_rows: list[dict] = [] + transitions: dict[int, dict] = {} + tx_headers = [] + + for packet, (layout, frame, rx_start) in enumerate(zip(metadata["layout"], plans, expected_starts), start=1): + expected_frame = frame.plan.frame_bits.astype(np.uint8) + expected_header = frame.plan.phy_header_bits.astype(np.uint8) + tx_headers.append(expected_header) + legacy = extract_symbols(received, rx_start, PREAMBLE_SYMBOLS + HEADER_SYMBOLS, "legacy") + t2 = extract_symbols(received, rx_start, PREAMBLE_SYMBOLS + HEADER_SYMBOLS, "t2") + transition = extract_symbols( + received, rx_start, PREAMBLE_SYMBOLS + HEADER_SYMBOLS + POSTHEADER_SYMBOLS, "legacy" + ) + preamble = physical_metrics(legacy, expected_frame, slice(0, PREAMBLE_SYMBOLS)) + local = physical_metrics(legacy, expected_frame, slice(PREAMBLE_SYMBOLS - 128, PREAMBLE_SYMBOLS + HEADER_SYMBOLS)) + reference = reference_sync_diagnostic( + legacy, expected_frame[:PREAMBLE_SYMBOLS + HEADER_SYMBOLS] + ) + header_legacy = header_diagnostics( + legacy["corrected"].real[PREAMBLE_SYMBOLS:], expected_header + ) + header_t2 = header_diagnostics( + t2["corrected"].real[PREAMBLE_SYMBOLS:], expected_header + ) + legacy_t2_differences = int(np.count_nonzero( + legacy["hard_bits"][PREAMBLE_SYMBOLS:] != t2["hard_bits"][PREAMBLE_SYMBOLS:] + )) + strict_row = strict_candidate_for_packet(strict["run_a_legacy"]["rows"], rx_start) + candidate_position = int(strict_row["absolute_refined"]) if strict_row else None + if packet == 1: + preceding_start = stream_start + preceding_count = lab066.GUARD_SAMPLES + else: + preceding_count = lab066.INTER_PACKET_GAP_SAMPLES + preceding_start = rx_start - preceding_count + gap = gap_metrics(received, preceding_start, preceding_count) + trailing = gap_metrics(received, rx_start + lab066.PACKET_SAMPLES, lab066.GUARD_SAMPLES) if packet == 16 else None + row = { + "packet": packet, + "strict_result": "PASS" if packet in PASSED_PACKETS else "HEADER_FAIL", + "candidate_position": candidate_position, + "expected_packet_position": rx_start, + "candidate_difference_samples": None if candidate_position is None else candidate_position - rx_start, + "timing_offset_samples": legacy["timing_samples"], + "fractional_timing_offset": legacy["timing_fraction"], + "timing_metric_confidence": None, + "preamble_symbols": preamble["symbols"], + "preamble_errors": preamble["errors"], + "preamble_error_rate": preamble["error_rate"], + "preamble_correlation": preamble["correlation"], + "preamble_rms_symbol_deviation": preamble["rms_symbol_deviation"], + "preamble_matched_power": preamble["matched_component_power"], + "preamble_residual_power": preamble["residual_power"], + "preamble_matched_residual_db": preamble["matched_residual_db"], + "legacy_initial_frequency_hz": legacy["initial"]["frequency_hz"], + "t2_initial_frequency_hz": t2["initial"]["frequency_hz"], + "initial_phase_error_rad": float(np.angle(legacy["initial"]["gain"])), + "frequency_difference_legacy_t2_hz": legacy["initial"]["frequency_hz"] - t2["initial"]["frequency_hz"], + "reference_frequency_hz": reference["frequency_hz"], + "legacy_frequency_error_vs_reference_hz": legacy["initial"]["frequency_hz"] - reference["frequency_hz"], + "reference_timing_offset_samples": reference["timing_offset_samples"], + "reference_fractional_timing_offset": reference["timing_fraction"], + "reference_coherence": reference["coherence"], + "legacy_expected_phase_drift_preamble_rad": float(2 * np.pi * legacy["initial"]["frequency_hz"] * PREAMBLE_SYMBOLS / SYMBOL_RATE), + "legacy_expected_phase_drift_header_rad": float(2 * np.pi * legacy["initial"]["frequency_hz"] * HEADER_SYMBOLS / SYMBOL_RATE), + "legacy_expected_phase_drift_full_packet_rad": float(2 * np.pi * legacy["initial"]["frequency_hz"] * len(expected_frame) / SYMBOL_RATE), + "phase_error_from_cfo_mismatch_over_header_rad": float( + 2 * np.pi * (legacy["initial"]["frequency_hz"] - reference["frequency_hz"]) + * HEADER_SYMBOLS / SYMBOL_RATE + ), + "expected_header_bits": header_legacy["expected_header_bits"], + "received_raw_header_bits": header_legacy["received_raw_header_bits"], + "header_raw_errors": header_legacy["raw_header_errors"], + "header_copy_1_errors": header_legacy["copy_errors"][0], + "header_copy_2_errors": header_legacy["copy_errors"][1], + "header_copy_3_errors": header_legacy["copy_errors"][2], + "voted_header_bits": header_legacy["voted_header_bits"], + "header_voted_errors": header_legacy["voted_header_errors"], + "magic_errors": header_legacy["magic_errors"], + "version_errors": header_legacy["version_errors"], + "length_errors": header_legacy["length_errors"], + "checksum_errors": header_legacy["checksum_errors"], + "decoded_magic": header_legacy["decoded_magic"], + "decoded_length": header_legacy["decoded_length"], + "header_accepted": header_legacy["accepted"], + "header_reason": header_legacy["reason"], + "header_raw_error_positions": header_legacy["raw_error_positions"], + "header_voted_error_positions": header_legacy["voted_error_positions"], + "legacy_header_bits": header_legacy["received_raw_header_bits"], + "t2_header_bits": header_t2["received_raw_header_bits"], + "legacy_t2_header_differences": legacy_t2_differences, + "local_window": "last 128 preamble symbols plus complete 144-symbol header", + "local_matched_power": local["matched_component_power"], + "local_residual_power": local["residual_power"], + "local_matched_residual_db": local["matched_residual_db"], + "rms_symbol_deviation": local["rms_symbol_deviation"], + "header_error_rate": header_legacy["raw_header_errors"] / HEADER_SYMBOLS, + "preceding_zero_gap_length": gap["length_samples"], + "gap_background_ac_rms": gap["background_ac_rms"], + "gap_mean_i": gap["mean_i"], "gap_mean_q": gap["mean_q"], + "gap_residual_energy": gap["residual_energy_mean"], + "previous_waveform_tail_detected": gap["previous_waveform_tail_detected"], + "gap_leading_edge_to_middle_db": gap["leading_edge_to_middle_db"], + "trailing_guard_packet_16": trailing, + } + packet_rows.append(row) + for position in range(HEADER_SYMBOLS): + bit_rows.append({ + "packet": packet, "protected_bit_position": position, + "field_bit_position": position // HEADER_REPETITION, + "copy": position % HEADER_REPETITION + 1, + "expected": int(expected_header[position]), + "legacy_received": int(legacy["hard_bits"][PREAMBLE_SYMBOLS + position]), + "t2_received": int(t2["hard_bits"][PREAMBLE_SYMBOLS + position]), + "legacy_error": int(position in header_legacy["raw_error_positions"]), + "t2_error": int(position in header_t2["raw_error_positions"]), + }) + start = PREAMBLE_SYMBOLS - 128 + stop = PREAMBLE_SYMBOLS + HEADER_SYMBOLS + 128 + corrected = transition["corrected"][start:stop] + truth = 2.0 * expected_frame[start:stop] - 1.0 + errors = np.flatnonzero((corrected.real >= 0) != (truth > 0)) + phase_error = np.angle(corrected * truth) + transitions[packet] = { + "corrected_real": corrected.real.astype(float).tolist(), + "corrected_imag": corrected.imag.astype(float).tolist(), + "magnitude": abs(corrected).astype(float).tolist(), + "phase_error_rad": phase_error.astype(float).tolist(), + "hard_decisions": (corrected.real >= 0).astype(int).tolist(), + "errors": errors.astype(int).tolist(), + "sample_positions": transition["sample_positions"][start:stop].astype(int).tolist(), + } + regions = {"preamble_tail": slice(0, 128), "header": slice(128, 128 + HEADER_SYMBOLS), "postheader": slice(128 + HEADER_SYMBOLS, None)} + for name, selected in regions.items(): + values = corrected[selected] + local_truth = truth[selected] + transition_rows.append({ + "packet": packet, "region": name, + "symbols": len(values), + "decision_errors": int(np.count_nonzero((values.real >= 0) != (local_truth > 0))), + "magnitude_median": float(np.median(abs(values))), + "magnitude_minimum": float(np.min(abs(values))), + "phase_error_rms_rad": float(np.sqrt(np.mean(np.angle(values * local_truth) ** 2))), + "imaginary_rms": float(np.sqrt(np.mean(values.imag ** 2))), + "timing_offset_samples": transition["timing_samples"], + }) + + assign_classifications(packet_rows) + candidate_summary, candidate_rows = candidate_analysis(strict, expected_starts) + tx_header_identical = all(np.array_equal(tx_headers[0], item) for item in tx_headers[1:]) + tx_header_decodes = [lab066.phy.lab045.decode_phy_header_soft(2.0 * item - 1.0) for item in tx_headers] + software_current = { + mode: lab066.decode(mode, TX_PATH, diagnostics=False) + for mode in ("legacy", "t2") + } + software_16_of_16 = all( + result["packet_output"] == 16 and result["exact_payload_match"] == 16 + for result in software_current.values() + ) + groups = group_summary(packet_rows) + distributions = { + label: { + metric: distribution(packet_rows, packets, metric) + for metric in ( + "preamble_errors", "preamble_error_rate", "preamble_correlation", + "preamble_rms_symbol_deviation", "preamble_matched_power", + "preamble_residual_power", "preamble_matched_residual_db", + "header_raw_errors", "header_voted_errors", + ) + } + for label, packets in (("passed", PASSED_PACKETS), ("failed", FAILED_PACKETS)) + } + failed_classes = {str(row["packet"]): row["classification"] for row in packet_rows if row["packet"] in FAILED_PACKETS} + passed_local_residual = float(np.median([ + row["local_residual_power"] for row in packet_rows if row["packet"] in PASSED_PACKETS + ])) + failed_local_residual = float(np.median([ + row["local_residual_power"] for row in packet_rows if row["packet"] in FAILED_PACKETS + ])) + passed_local_ratio = float(np.median([ + row["local_matched_residual_db"] for row in packet_rows if row["packet"] in PASSED_PACKETS + ])) + failed_local_ratio = float(np.median([ + row["local_matched_residual_db"] for row in packet_rows if row["packet"] in FAILED_PACKETS + ])) + failed_error_positions = [ + position for row in packet_rows if row["packet"] in FAILED_PACKETS + for position in row["header_raw_error_positions"] + ] + repeated_failed_positions = sorted({ + position for position in failed_error_positions + if failed_error_positions.count(position) > 1 + }) + diagnostic_strict_agreement = all( + row["header_accepted"] == (row["strict_result"] == "PASS") + for row in packet_rows + ) + timing_agreement = all( + row["timing_offset_samples"] == row["reference_timing_offset_samples"] + for row in packet_rows + ) + cfo_scale_small = max(abs(row["phase_error_from_cfo_mismatch_over_header_rad"]) + for row in packet_rows) < 0.1 + candidate_state_independent = ( + candidate_summary["persistent_state_between_rejected_candidates"] is False + and candidate_summary["accepted_until_changes_only_after_crc_pass"] is True + ) + local_quality_conditions = { + "tx_and_software_valid": bool( + tx_header_identical and all(item["passed"] for item in tx_header_decodes) + and software_16_of_16 + ), + "strict_header_reproduced": diagnostic_strict_agreement, + "no_common_failed_error_position": not repeated_failed_positions, + "failed_local_residual_at_least_20_percent_higher": ( + failed_local_residual > 1.2 * passed_local_residual + ), + "failed_local_matched_residual_at_least_1_db_lower": ( + failed_local_ratio < passed_local_ratio - 1.0 + ), + "receiver_and_oracle_timing_agree": timing_agreement, + "cfo_mismatch_phase_scale_below_0p1_rad": cfo_scale_small, + "candidate_state_independent": candidate_state_independent, + } + root_cause = ( + "LOCAL_RF_QUALITY" if all(local_quality_conditions.values()) + else "NOT_LOCALIZED" + ) + small_fix_evidence = { + "receiver_header_logic": bool(not diagnostic_strict_agreement), + "timing_transition": bool(not timing_agreement and not cfo_scale_small), + "carrier_transition": bool(not cfo_scale_small and timing_agreement), + "candidate_state_handling": bool(not candidate_state_independent), + } + one_small_fix = any(small_fix_evidence.values()) + plots = make_plots(packet_rows, transitions, candidate_summary) + write_csvs(packet_rows, candidate_rows, bit_rows, transition_rows) + save_json(OUTPUT / "transition_symbols.json", transitions) + summary = { + "lab": "Lab067", + "mode": "OFFLINE_DIAGNOSTIC_ONLY", + "rf_tx": 0, + "hardware_accessed": False, + "lab066_integrity": integrity, + "historical_strict_result_unchanged": { + "legacy": "10/16", "t2": "10/16", + "passed_packets": sorted(PASSED_PACKETS), "failed_packets": sorted(FAILED_PACKETS), + }, + "packet_positions_verified": len(expected_starts) == 16 and all( + row["candidate_difference_samples"] is not None and abs(row["candidate_difference_samples"]) <= 64 + for row in packet_rows + ), + "packet_rows": packet_rows, + "passed_failed_distributions": distributions, + "start_middle_end_groups": groups, + "failed_packet_classifications": failed_classes, + "header_error_position_analysis": { + "failed_raw_error_count": len(failed_error_positions), + "positions_repeated_between_failed_packets": repeated_failed_positions, + "systematic_common_position_found": bool(repeated_failed_positions), + "interpretation": "Позиции ошибок различаются; общей битовой позиции отказа нет.", + }, + "local_quality_evidence": { + "passed_local_residual_power_median": passed_local_residual, + "failed_local_residual_power_median": failed_local_residual, + "passed_local_matched_residual_db_median": passed_local_ratio, + "failed_local_matched_residual_db_median": failed_local_ratio, + "failed_minus_passed_residual_power_median": failed_local_residual - passed_local_residual, + "failed_minus_passed_matched_residual_db_median": failed_local_ratio - passed_local_ratio, + "scope": "last 128 preamble symbols plus complete header", + "decision_conditions": local_quality_conditions, + }, + "legacy_t2_header_difference": ( + "NONE" if all(row["legacy_t2_header_differences"] == 0 for row in packet_rows) + else "PRESENT" + ), + "t2_influence_starts_at_symbol": PREAMBLE_SYMBOLS, + "t2_explanation": "T2 начинает сопровождение после преамбулы; его решения заголовка сравнены побитно со штатным legacy.", + "candidate_analysis": candidate_summary, + "tx_validation": { + "headers_identical_at_all_packet_positions": tx_header_identical, + "all_headers_decode_with_correct_magic_version_length_checksum": all(item["passed"] for item in tx_header_decodes), + "decoded_packet_lengths": [item["packet_bytes"] for item in tx_header_decodes], + "software_roundtrip_current": software_current, + "legacy_and_t2_16_of_16": software_16_of_16, + }, + "header_failure_root_cause": root_cause, + "one_small_fix_justified": one_small_fix, + "branch_decision": ( + "ONE_SMALL_FIX_JUSTIFIED" if one_small_fix + else "NO_SMALL_FIX_JUSTIFIED" + ), + "small_fix_assessment": { + "evidence_flags": small_fix_evidence, + "receiver_header_logic_error_found": small_fix_evidence["receiver_header_logic"], + "timing_transition_error_found": small_fix_evidence["timing_transition"], + "carrier_transition_error_explains_six_failures": small_fix_evidence["carrier_transition"], + "candidate_state_error_found": small_fix_evidence["candidate_state_handling"], + "reason": "TX и программный тракт дают 16/16; ошибки заголовка не имеют общей позиции, timing совпадает, а локальный остаток в failed header-окнах выше.", + }, + "achieved_result": "10/16 exact full packets at 500 ksymbol/s, TX VGA 20 dB, hardware-valid OTA capture", + "recommended_next_project_branch": "CRSF / ELRS CONTROL AND TELEMETRY", + "qpsk_note": "QPSK с меньшей символьной скоростью остаётся будущим кандидатом для видеоканала; в Lab067 не реализован.", + "plots": plots, + "lab067_commit": "NOT PERFORMED", + "push": "NOT PERFORMED", + } + save_json(OUTPUT / "summary.json", summary) + return summary + + +def run_functional_tests() -> None: + expected = np.repeat(np.arange(HEADER_BITS, dtype=np.uint8) % 2, HEADER_REPETITION) + exact = header_diagnostics(2.0 * expected.astype(float) - 1.0, expected) + assert exact["raw_header_errors"] == 0 + assert exact["voted_header_errors"] == 0 + changed = expected.copy(); changed[3:5] ^= 1 + result = header_diagnostics(2.0 * changed.astype(float) - 1.0, expected) + assert result["raw_header_errors"] == 2 + assert result["voted_header_errors"] == 1 + + +def main() -> None: + run_functional_tests() + result = analyze() + print(json.dumps({ + "lab": result["lab"], + "historical_strict_result": result["historical_strict_result_unchanged"], + "root_cause": result["header_failure_root_cause"], + "one_small_fix_justified": result["one_small_fix_justified"], + "failed_packet_classifications": result["failed_packet_classifications"], + "plots": result["plots"], + }, ensure_ascii=False, indent=2)) + print("RF TX = 0") + + +if __name__ == "__main__": + main() diff --git a/tests/test_lab067_header_failure_analysis.py b/tests/test_lab067_header_failure_analysis.py new file mode 100644 index 0000000..5cdb0f7 --- /dev/null +++ b/tests/test_lab067_header_failure_analysis.py @@ -0,0 +1,79 @@ +"""Проверки диагностических вычислений Lab067 без raw IQ и оборудования.""" + +from __future__ import annotations + +import numpy as np + +from experiments import lab067_header_failure_analysis as lab067 + + +def test_header_diagnostics_repeats_strict_soft_combining() -> None: + expected = lab067.lab066.plans()[0].plan.phy_header_bits.astype(np.uint8) + soft = 2.0 * expected.astype(float) - 1.0 + # Две копии одного бита имеют неверный знак, но малы по модулю. Третья + # правильная копия сильнее, поэтому штатная мягкая сумма сохраняет бит. + soft[:2] *= -0.1 + result = lab067.header_diagnostics(soft, expected) + assert result["raw_header_errors"] == 2 + assert result["voted_header_errors"] == 0 + assert result["accepted"] is True + + +def test_header_diagnostics_reports_field_and_copy_errors() -> None: + expected = lab067.lab066.plans()[0].plan.phy_header_bits.astype(np.uint8) + received = expected.copy() + received[24:26] ^= 1 + result = lab067.header_diagnostics( + 2.0 * received.astype(float) - 1.0, + expected, + ) + assert result["raw_header_errors"] == 2 + assert result["copy_errors"] == [1, 1, 0] + assert result["voted_header_errors"] == 1 + assert result["magic_errors"] == 1 + assert result["accepted"] is False + + +def test_strict_candidate_selection_uses_nearest_expected_position() -> None: + rows = [ + {"absolute_refined": 980, "packet_output": False, "crc": False, "fec": False, "header": False}, + {"absolute_refined": 1003, "packet_output": False, "crc": False, "fec": False, "header": True}, + ] + selected = lab067.strict_candidate_for_packet(rows, 1000) + assert selected is rows[1] + + +def test_strict_candidate_selection_never_prefers_farther_success() -> None: + exact_failure = { + "absolute_refined": 1000, "packet_output": False, + "crc": False, "fec": False, "header": False, + } + farther_success = { + "absolute_refined": 1064, "packet_output": True, + "crc": True, "fec": True, "header": True, + } + selected = lab067.strict_candidate_for_packet( + [farther_success, exact_failure], 1000 + ) + assert selected is exact_failure + + +def test_strict_candidate_tie_break_does_not_use_verdict() -> None: + lower_failure = { + "absolute_refined": 999, "packet_output": False, + "crc": False, "fec": False, "header": False, + } + upper_success = { + "absolute_refined": 1001, "packet_output": True, + "crc": True, "fec": True, "header": True, + } + selected = lab067.strict_candidate_for_packet( + [upper_success, lower_failure], 1000 + ) + assert selected is lower_failure + + +def test_lab067_has_no_rf_entry_point() -> None: + assert not hasattr(lab067, "capture_once") + assert lab067.RX_PATH.name == "rx_stream.cs8" + assert lab067.FAILED_PACKETS == {1, 2, 3, 9, 15, 16}