Sparsity-Based DOA Estimation of Coherent and Uncorrelated Targets using Transmit/Receive Co-prime Arrays

被引:1
|
作者
BouDaher, Elie [1 ]
Ahmad, Fauzia [1 ]
Amin, Moeness G. [1 ]
机构
[1] Villanova Univ, Coll Engn, Ctr Adv Commun, Villanova, PA 19085 USA
来源
COMPRESSIVE SENSING IV | 2015年 / 9484卷
关键词
Active sensing; co-prime arrays; correlated sources; DOA estimation; sparse reconstruction; OF-ARRIVAL ESTIMATION; LOCATION; ESPRIT;
D O I
10.1117/12.2177597
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, we use transmit/receive co-prime arrays for direction finding of mixed coherent and uncorrelated targets based on the concept of sum coarrays. The sum coarray is defined as the set of pair-wise sums of the position vectors of the elements in the transmit and receive apertures. The data measurements from the transmit/receive co-prime array are used to emulate observations at a virtual array, whose element positions are given by the sum coarray corresponding to the co-prime array. A group sparse reconstruction problem is formulated employing multiple snapshots, where each group corresponding to a specific angle of arrival extends across all the time samples. The number of resolvable targets for the proposed sparsity-based approach is limited by the number of elements in the sum coarray. Supporting simulation results are provided, which validate the effectiveness of the proposed direction finding method.
引用
收藏
页数:6
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