cosim_dir revival:
- gen_realdata_hex.py: also emit decimated_range_{i,q}.npy (48x512)
and doppler_map_{i,q}.npy (512x48) at production dimensions; the
same Python pipeline that produces the RTL .hex stimuli now writes
the .npy intermediates v7.replay COSIM_DIR loads. Replaces the
workflow lost when golden_reference.py was deleted in e8b495c
- test_v7.py: update test_get_frame_cosim shape from pre-PR-O.6
(64,32) to (NUM_RANGE_BINS, NUM_DOPPLER_BINS)
- check in 4 .npy reference files (~400 KB, deterministic SCENE_SEED=42)
Ruff lint cleanup (was 66 errors; now 0):
- pyproject.toml: ignore T20 in tb/cosim/**.py (CLI tools)
- compare_independent.py: drop redundant int() casts (RUF046),
swap try/except scipy import for importlib.util.find_spec,
remove dead duplicate np import, ASCII-ize comment unicode,
wrap E501 format strings
- fpga_reference.py: drop unused fs arg from nco_reference,
collapse if/else to ternary, mark _out_im unused
- v7/processing.py: ASCII-ize x in docstring, collapse if-branches
- {dashboard,software_fpga,workers,radar_protocol}.py: wrap E501
- test_v7.py: ASCII-ize comment unicode, _alias renames where unused
Result: test_v7 100/100 (0 skips on radar_venv, was 9 graceful
skips); 5 cosim_dir orphan tests now active and passing.
Refactor v7.WaveformConfig from single-PRI to PR-Q's 3-PRI staggered
ladder (SHORT 175 us / MEDIUM 161 us / LONG 167 us) and update the
host-side bulk-frame parser dimension to match the FPGA's 48-bin
Doppler output (RP_NUM_DOPPLER_BINS = 48). The parser was rejecting
every production frame with n_doppler != 32, masking the PR-F widening
end-to-end.
WaveformConfig:
- pri_short_s/pri_medium_s/pri_long_s replace single pri_s
- n_doppler_bins 32 -> 48; new num_subframes=3
- Per-subframe velocity_resolution_{short,medium,long}_mps
- Per-subframe max_velocity_{short,medium,long}_mps
- extended_max_velocity_mps_crt(K=6) for 3-PRI alias-resolution ceiling
- Drop pri_s, velocity_resolution_mps, max_velocity_mps (no aliases)
Other:
- radar_protocol.NUM_DOPPLER_BINS 32 -> 48 (NUM_CELLS auto 16384 -> 24576;
BULK_FRAME_MAX_SIZE flows from NUM_CELLS, no other edits needed)
- v7/dashboard.py constant + stale "(64x32)" title replaced with f-string
- v7/processing.py 32-bin fallback -> 48
- v7/workers.py: derive doppler_center from frame.shape; LONG-PRI v_res
used as conservative single-PRI placeholder until PR-Q.5 lands the
CRT extractor (markers in place at both call sites)
- test_v7.py: TestWaveformConfig rewritten (8 tests, per-subframe + CRT
extension); TestExtractTargetsFromFrame center 16 -> 24
Local tests:
TestWaveformConfig 8/8 PASS
TestExtractTargetsFromFrame 6/6 PASS
test_GUI_V65_Tk 117/0/2 PASS
Add SoftwareFPGA class that imports golden_reference functions to
replicate the FPGA pipeline in software, enabling bit-accurate replay
of raw IQ, FPGA co-sim, and HDF5 recordings through the same
dashboard path as live data.
New modules: software_fpga.py, replay.py (ReplayEngine + 3 loaders)
Enhanced: WaveformConfig model, extract_targets_from_frame() in
processing, ReplayWorker with thread-safe playback controls,
dashboard replay UI with transport controls and dual-dispatch
FPGA parameter routing.
Removed: ReplayConnection (from radar_protocol, hardware, dashboard,
tests) — replaced by the unified replay architecture.
150/150 tests pass, ruff clean.
Add a 4th connection mode to the V7 dashboard that loads raw complex IQ
captures (.npy) and runs the full FPGA signal processing chain in software:
quantize → AGC → Range FFT → Doppler FFT → MTI → DC notch → CFAR.
Implementation (7 steps):
- v7/agc_sim.py: bit-accurate AGC runtime extracted from adi_agc_analysis.py
- v7/processing.py: RawIQFrameProcessor (full signal chain) + shared
extract_targets_from_frame() for bin-to-physical conversion
- v7/raw_iq_replay.py: RawIQReplayController with thread-safe playback
state machine (play/pause/stop/step/seek/loop/FPS)
- v7/workers.py: RawIQReplayWorker (QThread) emitting same signals as
RadarDataWorker + playback state/index signals
- v7/dashboard.py: mode combo entry, playback controls UI, dynamic
RangeDopplerCanvas that adapts to any frame size
Bug fixes included:
- RangeDopplerCanvas no longer hardcodes 64x32; resizes dynamically
- Doppler centre bin uses n_doppler//2 instead of hardcoded 16
- Shared target extraction eliminates duplicate code between workers
Ruff clean, 120/120 tests pass.
Jason