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.
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页数:6
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