Sparse DOD/DOA Estimation in a Bistatic MIMO Radar With Mutual Coupling Effect

被引:14
作者
Chen, Peng [1 ]
Cao, Zhenxin [1 ]
Chen, Zhimin [2 ]
Yu, Chunhua [3 ]
机构
[1] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Jiangsu, Peoples R China
[2] Shanghai Dianji Univ, Sch Elect & Informat, Shanghai 201306, Peoples R China
[3] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
来源
ELECTRONICS | 2018年 / 7卷 / 11期
关键词
bistatic MIMO radar; DOD; DOA estimation; mutual coupling; off-grid sparse problem; DIRECTION-OF-ARRIVAL; DOA ESTIMATION; JOINT DOD; DEPARTURE;
D O I
10.3390/electronics7110341
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The unknown mutual coupling effect between antennas significantly degrades the target localization performance in the bistatic multiple-input multiple-output (MIMO) radar. In this paper, the joint estimation problem for the direction of departure (DOD) and direction of arrival (DOA) is addressed. By exploiting the target sparsity in the spatial domain and formulating a dictionary matrix with discretizing the DOD/DOA into grids, compressed sensing (CS)-based system model is given. However, in the practical MIMO radar systems, the target cannot be precisely on the grids, and the unknown mutual coupling effect degrades the estimation performance. Therefore, a novel CS-based DOD/DOA estimation model with both the off-grid and mutual coupling effect is proposed, and a novel sparse reconstruction method is proposed to estimate DOD/DOA with updating both the off-grid and mutual coupling parameters iteratively. Moreover, to describe the estimation performance, the corresponding Cramer-Rao lower bounds (CRLBs) with all the unknown parameters are theoretically derived. Simulation results show that the proposed method can improve the DOD/DOA estimation in the scenario with unknown mutual coupling effect, and outperform state-of-the-art methods.
引用
收藏
页数:23
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