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https://github.com/NawfalMotii79/PLFM_RADAR.git
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Jason
5a7e8b8689
Add host-side 3-PRI Chinese-Remainder velocity unfolding and a cluster extractor that reads the 48-bin Doppler frame, splits it into the 3 sub-frames (SHORT/MEDIUM/LONG), and resolves Doppler aliases across coprime PRIs. Resolves the algorithm half of audit C-5; the data is now in extract_targets_from_frame_crt's hands but workers still call the legacy single-PRI extractor (PR-Q.6 wires it). v7/processing.py: - unfold_velocity_crt(v_meas, v_unamb, v_res, max_alias_k=6, tol_factor=0.5) -> (v_est, confidence, alias_set). Brute-force candidate search over PRI-0 fold depth, per-PRI half-bin tolerance. Confidence: CONFIRMED (3-PRI unique), LIKELY (3-PRI with 2 cands, or 2-PRI with unique cand), AMBIGUOUS (1-PRI, 3+ cands, 2-PRI multi-cand, or no fold within tol). - extract_targets_from_frame_crt(frame, waveform, gps, max_alias_k): groups detections by range bin, picks strongest bin per (rbin, sf), decodes signed Doppler via sub_frame = dbin // 16 / bin_in_sf = dbin % 16, calls unfold_velocity_crt, attaches velocity_confidence and alias_set to RadarTarget. Falls back to legacy extract_targets_from_frame for non-48-bin frames. v7/models.py: - RadarTarget gains velocity_confidence (str default "UNKNOWN") and alias_set (list[float] | None). v7/__init__.py: - Re-exports unfold_velocity_crt + extract_targets_from_frame_crt. test_v7.py (16 new tests, 0 failures): - TestUnfoldVelocityCRT (8): zero-velocity CONFIRMED, below per-PRI v_unamb CONFIRMED, above per-PRI (100 m/s) CONFIRMED, near CRT ceiling (~261 m/s) CONFIRMED, negative velocity, 1-PRI AMBIGUOUS, 2-PRI LIKELY, inconsistent measurements AMBIGUOUS+fallback. - TestExtractTargetsFromFrameCrt (8): 3-PRI CONFIRMED target, LONG-only AMBIGUOUS (the 20-km blindspot regime), 2-PRI LIKELY, strongest-bin picking, two targets at distinct ranges, legacy 32-bin frame fallback, no-detections empty, GPS georef. Local: test_v7 100/0/0 (9 graceful skips), test_GUI_V65_Tk 117/0/2.