A New Radar Target Recognition Method Based on Polarimetric Processing and Neural Learning

摘要

The new millimeter-wave (MMW) radar target recognition method proposed uses polarimetric informaiton to obtain stable amplitudes of range profiles and neural learning to extract angle-invariant features of range profiles and polarimetric processing reduces speckle to enhance ability to discriminate targets, and in comparison with conventional approaches, subclass features obtained by the neural learning carrier more information and thus makes the correctness of target classification higher and simulation results verified the validity of this approach.