Space group debris imaging based on block-sparse method

被引：0
|
作者：
National Laboratory of Radar Signal Processing, Xidian University, Xi'an [1 ]
710071, China
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
来源：
Dianzi Yu Xinxi Xuebao | / 3卷 / 587-593期
关键词：
Block-sparsity; Compressed Sensing (CS); Group space debris imaging; Inverse SAR (ISAR); Orthogonal matching pursuit;
D O I：
10.11999/JEIT140509
中图分类号：
学科分类号：
摘要：
Space debris often appears in the form of groups, and the radar echoes overlap each other along the range direction. Utilizing the block structure, a high resolution space debris imaging method of ISAR is proposed based on the block-sparse Compressed Sensing (CS). This method can get high resolution 1-D range profile of every debris based on the block-sparse CS with the characteristics of space debris, and obtain the ISAR image combined with the translation compensation and the Range Doppler (RD) algorithm. The simulation results illustrate that the proposed method can achieve high resolution ISAR image with less reconstruction error and iterative number compared with the non-structure CS method under limited measurements. ©, 2015, Science Press. All right reserved.
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页码：587 / 593
页数：6
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