Parameter estimation method of CP-GTD model based on FOMC

The electromagnetic scattering mechanism of radar target in high frequency domain can be characterized exactly by the two-dimensional (2D) coherent polarization GTD (CP-GTD) model. Considering the problem of 2D-ESPRIT method that has low estimation precision under the circs of colored noises, a new scattering center parameter estimation algorithm for CP-GTD model based on 2D fourth-order mixed cumulants (FOMC) is proposed, named as 2D-FOMCESPRIT. In light of the characteristics of 2D FOMC, the measured data’s FOMC is used to estimate position parameters firstly, then the scattering types and polarimetric scattering matrices are estimated via MUSIC spectrum peak search method and the least square method respectively. The proposed method can realize super-resolution imaging of fully polarized radar target and accurate parameter estimation of 2D CP-GTD model. Compared with existing 2D-MUSIC and 2D-ESPRIT method, 2D-FOMCESPRIT algorithm provides great improvement on the estimation performance, possesses more robustness under the condition of colored noises and better computation efficiency with respect to large measured data. Experimental results from simulated data and real data verify the validity of above conclusions.