In this paper

a polarimetric super processing method based on ESPRIT is proposed

and the CRB of scattering centers parameters estimation

including position

intensity and coherent phase are derived.Experiments reveal that the performance of the proposed method is very close to CRB.Superiorities of our method relies on the following processing techniques:(1) joint processing of super-resolution and full polarization

which enables extraction of coherent scattering matrix of target;(2) utilization of fully polarized backscattered data

which improves SNR and enhances the performance of estimation;(3) utilization of the rotational invariance property of signal subspace

which greatly reduces computational burden by avoiding multi-dimensional search.Simulation and real data experiments validate its effectiveness.The conclusion is meaningful to polarimetric super-resolution imaging

algorithm evaluation

polarization feature extraction and recognition

and high-resolution polarized radar system design.