Circular SAR imaging algorithm based on polar format algorithm for moving target

被引:2
作者
Wang, Zhou [1 ,2 ]
Li, Feng [1 ,2 ]
Peng, XiangJun [1 ,2 ]
Yao, Di [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Radar Res Lab, Beijing, Peoples R China
[2] Beijing Key Lab Embedded Real Time Informat Proc, Beijing, Peoples R China
来源
JOURNAL OF ENGINEERING-JOE | 2019年 / 2019卷 / 19期
基金
中国国家自然科学基金;
关键词
synthetic aperture radar; image reconstruction; radar imaging; motion compensation; imaging reference point; circular SAR imaging algorithm; polar format algorithm; stationary targets; circular synthetic aperture radar imaging; CSAR; moving targets; long synthetic aperture; slant plane; observation angle; latest moving target trajectory reconstruction method; motion parameters;
D O I
10.1049/joe.2019.0423
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For stationary targets, circular synthetic aperture radar (CSAR) imaging has tended to be mature and perfect. However, for moving targets, due to the long synthetic aperture and the variation of slant plane with the observation angle, the motion compensation is more complicated and has no effective approach. Based on the latest moving target trajectory reconstruction method in CSAR (2015), the polar format algorithm can be improved to image the moving targets when the motion parameters have been estimated. First, the authors placed the imaging reference point on the target to track it, and then compensated for the phase error caused by the incident angle changing and the wavefront curvature. The simulation results of point show that the algorithm is effective and accurate.
引用
收藏
页码:5539 / 5542
页数:4
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