radar deep learning

we propose an intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems (micro UASs). In this system, we design a low- complexity binarized deep belief network (DBN) classifier that recognizes the signature patterns generated by using a Doppler radar based solution. To generate the distinguis hable patterns, our work employs the spectral correlation function (SCF) that is noise resilient. hable patterns, our work employs the spectral correlation function (SCF) that is noise resilient.