DOA estimation in monostatic MIMO array based on sparse signal reconstruction

被引：0
|
作者：
Shi, Wentao [1 ]
Huang, Jianguo [1 ]
Zhang, Qunfei [1 ]
Zheng, Jimeng [2 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine & Technol, Xian 710072, Peoples R China
[2] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2016年
关键词：
direction arrival (DOA) estimation; monostatic multiple-input multiple output (MIMO) array; sparse signal reconstruction; overcomplete representation; singular value decomposition; RADAR; PERFORMANCE; ALGORITHM;
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：
In this paper, a novel method for direction arrival (DOA) estimation in monostatic multiple-input multiple output (MIMO) array is presented. By using the sparse signal reconstruction of monostatic MIMO array measurements with an overcomplete basis, the singular value decomposition (SVD) of the received data matrix can be penalties based on the l(1)-norm. The optimization problem can be solved exploiting the second-order cone programming framework. The proposed method for monostatic MIMO array could achieve more accurate DOA estimation than the traditional DOA estimation methods. The simulation examples are presented to demonstrate the effective of the proposed method in monostatic MIMO array.
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页数：4
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