Wi-Fi Signal Reflection (KrakenSDR)
Active
Rust Python
Concept
Through-wall human detection and localization using existing Wi-Fi signals as illumination sources. Built on the KrakenSDR five-channel coherent receiver, processing Heimdall DAQ IQ streams to detect movement through obstacles in indoor environments. Bridges theoretical signal reflection research with a portable, real-time hardware implementation.
Quick Facts
| Status | Active |
| Stack | Rust, Python |
Core Value
Signal reflection system that utilizes existing Wi-Fi signals for through-wall human detection and localization, leveraging the KrakenSDR coherent radio array.
Vision
To bridge the gap between theoretical signal reflection research and a portable, real-time hardware implementation capable of “seeing” movement through obstacles using ubiquitous Wi-Fi signals.
Constraints
- Hardware: KrakenSDR (5-channel coherent receiver).
- Software: Python-based processing pipeline.
- Input: Heimdall DAQ IQ data streams.
- Environment: Indoor/Through-wall (high clutter).