Low oversampling Staggered SAR imaging method based on L1 & TV regularization

被引：0
|
作者：
Liu M. [1 ,2 ,3 ]
Xu Z. [1 ,2 ,3 ]
Chen T. [1 ,2 ,3 ]
Zhang B. [1 ,2 ,3 ]
Wu Y. [1 ,2 ]
机构：
[1] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
[2] School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing
[3] Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 09期
关键词：
L[!sub]1[!/sub] & TV regularization; nonuniform sampling; sparse signal processing; staggered mode; synthetic aperture radar (SAR);
D O I：
10.12305/j.issn.1001-506X.2023.09.09
中图分类号：
学科分类号：
摘要：
High-resolution and wide-swath (HRWS) imaging is an important trend in the development of spaceborne synthetic aperture radar (SAR). Staggered SAR distributes the blind areas into the whole imaging range by using the variable pulse repetition frequency (PRF), which can widen the swath to several times the size of the traditional system. Aiming at the problems of nonuniform sampling and echo data loss in variable PRF mode, a low oversampling staggered SAR imaging method based on L1 & TV regularization is proposed. The proposed method can suppress the azimuth ambiguities without recovering the lost data, and introduce TV regularization term into the sparse reconstruction model to achieve the accurate reconstruction of distributed targets. Simulation and real data experiments verify the effectiveness of the proposed method. © 2023 Chinese Institute of Electronics. All rights reserved.
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收藏
页码：2718 / 2726
页数：8
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