sUAS Threat Detection Using Sensor Fusion, AI and Beam Steering

Detecting small, slow, low Unmanned Aerial Systems (UAS) is difficult because they are slow and small. We are improving the detection classification and tracking of sUAS: By incorporating RF Noise Radar Technology for LPI, LPD radars. By utilizing sensor fusion to complement the strengths and weaknesses of the sensors By adding beam steering for increased range and less interference, and By using ML to classify the targets by measuring the micro doppler of the UAS. The combinations, with feedback from Air Force and Space Force will be a sensor system providing more accurate information to the C2 system.