feat: CI test suite phases A+B, WaveformConfig separation, dead golden code cleanup

- Phase A: Remove self-blessing golden test from FPGA regression, wire
  MF co-sim (4 scenarios) into run_regression.sh, add opcode count guards
  to cross-layer tests (+3 tests)
- Phase B: Add radar_params.vh parser and architectural param consistency
  tests (+7 tests), add banned stale-value pattern scanner (+1 test)
- Separate WaveformConfig.range_resolution_m (physical, bandwidth-dependent)
  from bin_spacing_m (sample-rate dependent); rename all callers
- Remove 151 lines of dead golden generate/compare code from
  tb_radar_receiver_final.v; testbench now runs structural + bounds only
- Untrack generated MF co-sim CSV files, gitignore tb/golden/ directory

CI: 256 tests total (168 python + 40 cross-layer + 27 FPGA + 21 MCU), all green

9_Firmware/9_3_GUI/v7/processing.py

@@ -490,7 +490,7 @@ def polar_to_geographic(
 
 def extract_targets_from_frame(
     frame,
-    range_resolution: float = 1.0,
+    bin_spacing: float = 1.0,
     velocity_resolution: float = 1.0,
     gps: GPSData | None = None,
 ) -> list[RadarTarget]:
@@ -503,8 +503,8 @@ def extract_targets_from_frame(
     ----------
     frame : RadarFrame
         Frame with populated ``detections``, ``magnitude``, ``range_doppler_i/q``.
-    range_resolution : float
-        Meters per range bin.
+    bin_spacing : float
+        Meters per range bin (bin spacing, NOT bandwidth-limited resolution).
     velocity_resolution : float
         m/s per Doppler bin.
     gps : GPSData | None
@@ -525,7 +525,7 @@ def extract_targets_from_frame(
         mag = float(frame.magnitude[rbin, dbin])
         snr = 10.0 * math.log10(max(mag, 1.0)) if mag > 0 else 0.0
 
-        range_m = float(rbin) * range_resolution
+        range_m = float(rbin) * bin_spacing
         velocity_ms = float(dbin - doppler_center) * velocity_resolution
 
         lat, lon, azimuth, elevation = 0.0, 0.0, 0.0, 0.0