现代雷达2026，Vol.48Issue(5)：50-61,12.DOI:10.16592/j.cnki.1004-7859.20221018001
极化CSAR自适应子孔径成像方法
An Adaptive Sub-aperture Imaging Method for Polarimetric CSAR
摘要
Abstract
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.关键词
圆迹合成孔径雷达/自适应子孔径划分/广义似然比检验/极化特征/图像质量Key words
circular synthetic aperture radar(CSAR)/adaptive sub-aperture division/generalized likelihood ratio test/polariza-tion characteristics/image quality分类
信息技术与安全科学引用本文复制引用
郑易颖,李郝亮,刘燊文,陈思伟..极化CSAR自适应子孔径成像方法[J].现代雷达,2026,48(5):50-61,12.基金项目
国家自然科学基金资助项目(U24B20189、62122091) （U24B20189、62122091）
湖南省省级科技计划资助项目(2024RC1040) （2024RC1040）
湖南省杰青基金资助项目(2020JJ2034) （2020JJ2034）
