Edge SDR Signal Classifier Workbench

LIVE SDR RX Raspberry Pi 4 / 5 Calibrated

📡 Instantaneous FFT Power Spectrum & Waterfall

Sample Rate: 2.4 MSPS | FFT: 512-pt

CF: 1090.000 MHz | Span: 2.40 MHz | Hann

1088.80 MHz 1090.00 MHz (Center) 1091.20 MHz

RF Preset / Signal

Classifier Architecture

SNR Floor 18.5 dB

LNA Frontend Gain 28.0 dB

FFT Windowing

Identified Transmission Pattern

Aircraft Transponder (ADS-B Mode S)

Classifier Confidence 97.4%

Raspberry Pi Inference 1.4 ms

🔬 Extracted Spectral Features (-20dB)

DSP Pipeline

Occupied BW (OBW) 2000.0 kHz

Peak-to-Avg Ratio (PAPR) 11.8 dB

Burst Duty Cycle 8.3%

Pi RAM Footprint 4.2 MB

📊 Edge Multi-Class Probabilities

📋 Captured Bursts & Edge Benchmark Stream

Rolling Ring Buffer (Last 5 Frames)

Timestamp	Center Freq	Classified Signature	Confidence	Occupied BW	PAPR	Duty Cycle	Edge Latency	Pi RAM