Monostatic ISAR Coherent 3-D Imaging of Space Target Based on Sparse Constraint

被引：0
|
作者：
Jiang, Libing [1 ]
Yang, Peng [1 ]
Wang, Zhuang [1 ]
机构：
[1] NUDT, Coll Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China
来源：
2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS) | 2017年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This letter presents a novel 3-D coherent ISAR imaging algorithm based on monostatic radar observation. Due to the intrinsic orbit characteristics of the space target, the pitch dimension resolution is obtained by utilizing multiple orbits observation relative to radar. For the sparse characteristic of the target echo signal, the information of all resolution cells from the same image is also taken into account under the condition of sparse constraint to achieve coherence processing. Compared with the directly Fourier transform algorithm, the proposed method can effectively suppress the false scattering point target and achieve more accurate 3-D imaging result.
引用
收藏
页码：1238 / 1243
页数：6
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