- Add Channelizer class for wideband capture processing (2 MHz → 125 kHz) - FIR low-pass filter with scipy.firwin (or fallback windowed-sinc) - Proper decimation for anti-aliasing - Fix FrameSync preamble detection to accept any CFO - Real captures have significant carrier frequency offset - Preamble bins appear at arbitrary values, not just near 0 - Now accepts any strong signal as first preamble, validates consistency - Add decode_capture.py example script for processing raw BladeRF captures - PHYDecode verified to match existing lora_phy decoder output
211 lines
6.5 KiB
Python
211 lines
6.5 KiB
Python
#!/usr/bin/env python3
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"""Decode RYLR998 LoRa frames from wideband SDR captures.
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This script processes real BladeRF captures at 2 MHz sample rate,
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channelizes to 125 kHz, and decodes LoRa frames.
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Usage:
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python decode_capture.py <capture_file.raw>
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python decode_capture.py --list # List available captures
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"""
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import argparse
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import sys
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from pathlib import Path
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import numpy as np
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# Add parent to path for local development
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sys.path.insert(0, str(Path(__file__).parent.parent / "python"))
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from rylr998 import (
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Channelizer,
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FrameSync,
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PHYDecode,
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sync_word_to_networkid,
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)
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# Capture parameters (BladeRF defaults)
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INPUT_SAMPLE_RATE = 2e6 # 2 MHz capture rate
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CENTER_FREQ = 915e6 # Center frequency
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CHANNEL_FREQ = 915e6 # LoRa channel frequency
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CHANNEL_BW = 125e3 # LoRa bandwidth
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# LoRa parameters (RYLR998 defaults)
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SF = 9
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CR = 1
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def decode_capture(
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capture_path: Path,
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sf: int = SF,
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verbose: bool = True,
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) -> list:
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"""Decode LoRa frames from a wideband capture file.
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Args:
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capture_path: Path to .raw capture file (complex64)
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sf: Spreading factor
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verbose: Print progress
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Returns:
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List of decoded frames
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"""
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# Load capture
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if verbose:
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print(f"Loading {capture_path.name}...")
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iq_raw = np.fromfile(capture_path, dtype=np.complex64)
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if len(iq_raw) == 0:
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print(" ERROR: Empty file")
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return []
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# Check for NaN/Inf
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if np.any(~np.isfinite(iq_raw)):
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nan_count = np.sum(~np.isfinite(iq_raw))
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print(f" WARNING: {nan_count} NaN/Inf values ({100*nan_count/len(iq_raw):.1f}%)")
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# Replace NaN with zeros
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iq_raw = np.nan_to_num(iq_raw, nan=0.0, posinf=0.0, neginf=0.0)
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duration_s = len(iq_raw) / INPUT_SAMPLE_RATE
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if verbose:
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print(f" Loaded {len(iq_raw):,} samples ({duration_s:.1f}s at {INPUT_SAMPLE_RATE/1e6:.1f} MHz)")
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# Channelize to LoRa bandwidth
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if verbose:
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print(f"Channelizing to {CHANNEL_BW/1e3:.0f} kHz...")
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channelizer = Channelizer(
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input_sample_rate=INPUT_SAMPLE_RATE,
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channel_bw=CHANNEL_BW,
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center_freq=CENTER_FREQ,
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channel_freq=CHANNEL_FREQ,
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)
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iq_ch = channelizer.channelize(iq_raw)
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if verbose:
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print(f" Channelized: {len(iq_ch):,} samples ({channelizer})")
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# Frame synchronization
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if verbose:
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print(f"Searching for LoRa frames (SF{sf})...")
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sync = FrameSync(sf=sf)
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frames = []
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# Process in chunks (1 second at a time)
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chunk_size = int(CHANNEL_BW) # 1 second of channelized data
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n_chunks = (len(iq_ch) + chunk_size - 1) // chunk_size
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decoder = PHYDecode(sf=sf)
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for i in range(n_chunks):
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start = i * chunk_size
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end = min((i + 1) * chunk_size, len(iq_ch))
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chunk = iq_ch[start:end]
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result = sync.sync_from_samples(chunk)
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if result.found:
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# Extract NETWORKID
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nid = result.networkid
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if verbose:
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print(f"\n Frame detected at chunk {i} ({start/CHANNEL_BW:.1f}s):")
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print(f" CFO: {result.cfo_bin:.2f} bins")
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print(f" Sync word raw: {result.sync_word_raw}")
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print(f" NETWORKID: {nid}")
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print(f" Data symbols: {len(result.data_symbols)}")
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# Decode
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cfo_int = int(round(result.cfo_bin))
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frame = decoder.decode(
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result.data_symbols,
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cfo_bin=cfo_int,
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use_grlora_gray=True, # Real captures use gr-lora_sdr convention
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soft_decoding=False, # Real captures need -1 offset
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)
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if verbose:
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print(f" Header OK: {frame.header_ok}")
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print(f" Payload len: {frame.payload_length}")
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print(f" CRC OK: {frame.crc_ok}")
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if frame.payload:
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try:
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text = frame.payload.decode('utf-8', errors='replace')
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print(f" Payload: {repr(text)}")
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except Exception:
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print(f" Payload (hex): {frame.payload.hex()}")
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frames.append({
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'time': start / CHANNEL_BW,
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'networkid': nid,
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'cfo_bin': result.cfo_bin,
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'frame': frame,
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})
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# Reset sync for next frame
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sync.reset()
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if verbose:
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print(f"\n{'='*60}")
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print(f"Total frames found: {len(frames)}")
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return frames
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def list_captures():
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"""List available capture files."""
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logs_dir = Path(__file__).parent.parent.parent / "gnuradio" / "logs"
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if not logs_dir.exists():
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print(f"Logs directory not found: {logs_dir}")
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return
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print(f"Capture files in {logs_dir}:")
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print("-" * 60)
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for raw_file in sorted(logs_dir.glob("*.raw")):
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size_mb = raw_file.stat().st_size / 1e6
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n_samples = raw_file.stat().st_size // 8 # complex64 = 8 bytes
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duration_s = n_samples / INPUT_SAMPLE_RATE
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print(f" {raw_file.name:<45} {size_mb:>7.1f} MB ({duration_s:.1f}s)")
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def main():
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parser = argparse.ArgumentParser(description="Decode LoRa frames from SDR captures")
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parser.add_argument("capture", nargs="?", help="Capture file path")
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parser.add_argument("--list", action="store_true", help="List available captures")
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parser.add_argument("--sf", type=int, default=SF, help=f"Spreading factor (default: {SF})")
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parser.add_argument("--quiet", "-q", action="store_true", help="Less verbose output")
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args = parser.parse_args()
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if args.list:
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list_captures()
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return
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if not args.capture:
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parser.print_help()
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print("\n\nTip: Use --list to see available capture files")
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return
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capture_path = Path(args.capture)
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if not capture_path.exists():
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# Try looking in the logs directory
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logs_dir = Path(__file__).parent.parent.parent / "gnuradio" / "logs"
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alt_path = logs_dir / args.capture
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if alt_path.exists():
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capture_path = alt_path
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else:
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print(f"ERROR: File not found: {capture_path}")
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sys.exit(1)
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frames = decode_capture(capture_path, sf=args.sf, verbose=not args.quiet)
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if not frames:
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print("\nNo frames decoded. Try:")
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print(" - Different SF (--sf 7 through --sf 12)")
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print(" - Check capture frequency matches RYLR998 setting")
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print(" - Ensure RYLR998 is transmitting")
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if __name__ == "__main__":
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main()
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