极化CSAR自适应子孔径成像方法OA

Polarimetric circular synthetic aperture radar(CSAR)can obtain 360-degree omni-directional polarization information of a target.To address the issues such as the inability of traditional full-aperture imaging to acquire azimuthal polarization characteris-tics and the blurred edges and corners caused by the anisotropy of man-made targets,as well as the false scattering lines likely gen-erated in the imaging based on uniform sub-aperture division,a polarimetric CSAR imaging method based on adaptive sub-aperture division is proposed in this paper.The proposed method involves three steps.Firstly,according to the distribution characteristics of omni-directional scattered energy of the target,an aperture division method is adaptively chosen to divide full-aperture polarization data into multiple sub-aperture data.Secondly,sub-aperture images are obtained using the back projection algorithm.Finally,the maximum SPAN value of pixels at the position corresponding to each sub-aperture image is extracted by means of generalized likeli-hood ratios test,and then fused to generate a jointly processed image.Experiments based on fully-polarized simulation data of Ci-vilian Vehicle Dome validate the effectiveness of the proposed method,demonstrating its advantages in enhancing image quality and focusing image details.