Continuous Sparse Recovery for Direction of Arrival Estimation with Co-prime Arrays

被引：0
|
作者：
Tan, Zhao [1 ]
Nehorai, Arye [1 ]
Eldar, Yonina C. [2 ]
机构：
[1] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
[2] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
来源：
2014 IEEE 8TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2014年
关键词：
Direction of arrival estimation; co-prime arrays; continuous sparse recovery method;
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：
We consider the problem of direction of arrival ( DOA) estimation using a newly proposed structure of co-prime arrays. A continuous sparse recovery method is implemented in order to increase resolution. We show that in the noiseless case one can theoretically detect up to MN/2 sources with only 2M+ N sensors via continuous sparse recovery. The noise statistics of co-prime arrays are also analyzed to demonstrate the robustness of the proposed optimization scheme. Using numerical examples, we show the superiority of the proposed method.
引用
收藏
页码：393 / 396
页数：4
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