RF Signal Reflection Experiments
Phase 3/4 (100%)
The Insight
Ambient RF signals reflect off objects in the environment. By processing these reflections with coherent multi-channel receivers, we can extract bistatic range and Doppler shift information — an interesting signal processing challenge.
Quick Facts
| Status | Phase 3/4 (100%) |
| Language | Python, Signal Processing |
| Started | 2026 |
What This Is
An experimental signal processing project exploring how to analyze reflections of ambient radio signals. The system uses coherent multi-channel RF data to study bistatic geometry and Doppler effects.
Core Principles
Signal Reflection and Processing:
- Ambient Transmitters: FM radio, DVB-T, or cellular signals serve as convenient RF sources
- Bistatic Geometry: Separates transmitter and receiver — objects reflect signals toward the receiver
- Cross-Correlation Processing: Correlates reference channel (direct signal) with surveillance channels (reflections)
- Range-Doppler Mapping: Extracts time-delay and frequency-shift information from reflections
Signal Processing Chain:
- Reference Signal Capture: Acquire clean direct signal from transmitter
- Reflection Channel Processing: Receive signals containing reflections
- Adaptive Interference Cancellation: Remove direct signal and static multipath
- Cross-Correlation: Extract reflection signatures via time-delay analysis
- Doppler Analysis: Apply FFT to study frequency shifts from motion
- Detection Processing: Threshold analysis and signal extraction
Why This Approach:
- Cost-Effective: Uses existing RF infrastructure for experiments
- Educational: Practical exploration of bistatic radar concepts and signal processing techniques
Current Status
Clean, stable codebase for processing multi-channel RF reflections. Currently focused on establishing a solid signal processing foundation with single-channel experiments.
| ← Back to Projects | Development Philosophy |