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