导航

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2014, Vol. 35 ›› Issue (9): 2530-2539.doi: 10.7527/S1000-6893.2014.0071

• Electronics and Control • Previous Articles     Next Articles

Fast Extraction of 2D Full Polarization Scattering Centers Based on Spatial Filtering

ZHANG Xiao, ZHOU Jianjiang, WANG Fei   

  1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2013-12-09 Revised:2014-04-24 Online:2014-09-25 Published:2014-05-12
  • Supported by:

    National Natural Science Foundation of China (61371170); Priority Academic Program Development of Jiangsu Higher Education Institutions

Abstract:

Under the full polarization inverse synthetic aperture rador (ISAR) imaging radar system, the high-frequency electromagnetic scattering of the radar target can be described accurately by a two-dimensional model derived from the coherent polarization and geometrical theory of diffraction (CP-GTD). For the two-dimensional CP-GTD model, a fast method based on spatial filtering is proposed to extract parameters of two-dimensional full polarization scattering centers. The proposed method utilizes spatial filtering process to decompose two-dimensional full polarization scattering centers extraction into several times of one-dimensional scattering centers extraction, and then the one-dimensional rotational invariance technique(1D-ESPRIT) is employed to jointly estimate each dimensional parameter of full polarization scattering centers step by step. Finally, polarimetric scattering matrices are estimated via the least square method. Furthermore, with such a step-by-step estimating process, two-dimensional parameters can be automatically paired. Complexity analysis and simulation results show that the proposed method not only greatly reduces the computational burden, but also keeps high accuracy of parameter estimation, and it is proved to be effective in full polarization scattering center extraction of target.

Key words: scattering center, full polarization, GTD model, spatial filtering, rotational invariance technique(ESPRIT)

CLC Number: