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From the view of electromagnetic scattering,it is indicated that the micro-Doppler (m-D) character-istics of an extended target undergoing micro-motions are actually induced by the change of incident directions of radar pulses.Different micro-motions may lead to similar change of incident directions,consequently inducing similar m-D characteristics.To tackle this problem,rather than distinguish warhead and decoy directly from m-D characteristics,the frequency components of m-D frequency curves are used as a new characteristic for recognition in this paper.To get high precision of frequency components estimation,model-based parameter estimation (MBPE) is utilized to extract the m-D frequency curves from TFR.To obtain high accurate simu-lation results,the backscattered signal simulation is conducted by full-wave numerical method.The simulation results validate the theoretical analysis and the high performance of the proposed method.
From the view of electromagnetic scattering, it is indicated that the micro-Doppler (mD) character-istics of an extended target undergoing micro-motions are actually induced by the change of incident directions of radar pulses. Different micro-motions may lead to similar change of incident directions, derived inducing similar mD characteristics. T tackle this problem, rather than differenti warhead and decoy directly from mD characteristics, the frequency components of mD frequency curves are used as a new characteristic for recognition in this paper. Too get high precision of frequency components estimation, model-based parameter estimation (MBPE) is utilized to extract the mD frequency curves from TFR.To obtain high accurate simu-lation results, the backscattered signal simulation is conducted by full-wave numerical method. the theoretical analysis and the high performance of the proposed method.