Fast SL0 algorithm for 3D imaging using bistatic MIMO radar

被引：5
|
作者：
Hu, Xiaowei [1 ]
Guo, Yiduo [1 ]
Ge, Qichao [1 ]
Su, Yutong [2 ]
机构：
[1] Air Force Engn Univ, Early Warning & Guidance Dept, Xian, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Sci, Xian, Shaanxi, Peoples R China
来源：
IET SIGNAL PROCESSING | 2018年 / 12卷 / 08期
基金：
中国国家自然科学基金;
关键词：
MIMO radar; radar imaging; motion compensation; radar resolution; fast SL0 algorithm; 3D imaging; bistatic MIMO radar; multiple-input-multiple-output radar; complex motion compensation; three-dimensional imaging method; SPARSE DECOMPOSITION; SAR; ISAR; FORM; RESOLUTION; MODULATION; TARGETS; SCHEME;
D O I：
10.1049/iet-spr.2017.0376
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：
Multiple-input-multiple-output (MIMO) radar is attractive in moving targets imaging, which is able to solve the difficulty of complex motion compensation. In this article, a three-dimensional imaging method using bistatic MIMO radar is proposed. Compared with monostatic MIMO radar, the bistatic system can provide the complementary information, and the imaging process is not the same as the monostatic case. Furthermore, considering the image sparsity and the spatial limitation of radar targets, a fast smoothed L0 norm algorithm is proposed to achieve the high resolution in cross-range directions with limited antennas. The experimental results demonstrate the validity and efficiency of the proposed method.
引用
收藏
页码：1017 / 1022
页数：6
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