English
资源说明：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 distinguishable patterns, our work employs the spectral correlation function (SCF) that is noise resilient.
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