RF Signal Reflection Experiments

Phase 3/4 (100%)

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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:

Signal Processing Chain:

  1. Reference Signal Capture: Acquire clean direct signal from transmitter
  2. Reflection Channel Processing: Receive signals containing reflections
  3. Adaptive Interference Cancellation: Remove direct signal and static multipath
  4. Cross-Correlation: Extract reflection signatures via time-delay analysis
  5. Doppler Analysis: Apply FFT to study frequency shifts from motion
  6. Detection Processing: Threshold analysis and signal extraction

Why This Approach:

Current Status

Clean, stable codebase for processing multi-channel RF reflections. Currently focused on establishing a solid signal processing foundation with single-channel experiments.


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