SENSRAI TEAM'S PAST PROJECTS
ML Enabled Handset Location Detection
Customers
Applications
Deployment
Summary
The team developed, trained and tested an ML enabled PoC handset detection system. The implementation used a COTS SDR used initially to collect samples of handset emissions (3G & 4G PRACH preamble, initial uplink transmisisons) from numerous handsets and locations. Using enhanced machine learning frameworks a number of different ML algorthms and models were trained and validated to enable the prediction of the location of the handset based on the collected RF emissions. 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 PRACH preamble access attempts, even in the presence of other known RF signals.
