Drone detection, classification, tracking, and threat evaluation system employing field and remote identification (id) information

Abstract

The present disclosure describes various embodiments of systems and methods of detecting, classifying, and making a threat assessment of an unmanned aerial vehicle (UAV). One such method comprises detecting a radio frequency (RF) signal; determining that the RF signal is generated from an unmanned aerial vehicle (UAV) based on the detected RF signal; classifying at least a make and model of the UAV based on the detected RF signal; sensing for a remote identification field data broadcasted by the UAV; receiving remote identification information of the UAV from a network database, if the network database is available; assessing a threat likelihood of the UAV based on joint processing of at least the RF signal based classification of the UAV and the received remote identification information of the UAV; and signaling an alert containing a description of the UAV and the threat if the UAV is assessed as a harmful threat.