Parameter Estimation and Performance Analysis of Coherent Polarization Attributed Scattering Center Model

Both scattering center and polarimetric information are of great significance for radar target recognition and classification. Firstly, a Coherent polarization attributed (CPA) scattering center model is established to provide a relatively complete description of the target physical structure. Then, an effective parameter estimation method is proposed, where the full-polarization echoes are used for imaging to enhance the target’s features, thereafter, the parameters of the CPA model are estimated via image segmentation and an Approximatemaximum likelihood (AML) method. Particularly, the Cramer-Rao bounds (CRBs) for parameter estimation of the CPA model are derived. Experiments with the measured data in anechoic chamber validate the performance of the proposed method.