Underdetermined wideband DOA estimation of off-grid sources employing the difference co-array concept

被引：62
|
作者：
Shen, Qing [1 ]
Cui, Wei [1 ]
Liu, Wei [2 ]
Wu, Siliang [1 ]
Zhang, Yimin D. [3 ]
Amin, Moeness G. [4 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England
[3] Temple Univ, Dept Elect & Comp Engn, Philadelphia, PA 19122 USA
[4] Villanova Univ, Ctr Adv Commun, Villanova, PA 19085 USA
来源：
SIGNAL PROCESSING | 2017年 / 130卷
关键词：
Off-Grid; Difference co-array; Group sparsity; DOA estimation; Compressive sensing; ARRIVAL ESTIMATION; SIGNAL RECONSTRUCTION; NESTED ARRAYS; PRIME ARRAYS; DIRECTION; RECOVERY;
D O I：
10.1016/j.sigpro.2016.07.022
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：
A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：299 / 304
页数：6
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