SENSRAI TEAM'S PAST PROJECTS
ML Enabled RF Emission Detection
Customers
Applications
Deployment
Summary
The team developed, trained and tested a PoC RF emission detection system based on state-of-the-art machine learning algorithms and techniques. The implementation centered on a COTS SDR used initially to collect samples of RF emissions from numeroud devices and locations. Using standard machine learning frameworks a number of different ML algorthms and models were trained and validated. The system was then re-deployed into similar environments to the ones used for training data collection. The results showed a high degree of accuracy in detecting very low RF emissions from electronic devices even in the presence of other known RF signals.
