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Sensors 2017, 17(9), 2149;

A Direct Coarray Interpolation Approach for Direction Finding

College of Information and Communication Engineering, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China
Depaprtment of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA
Author to whom correspondence should be addressed.
Received: 7 August 2017 / Revised: 7 September 2017 / Accepted: 14 September 2017 / Published: 19 September 2017
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Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions for array configuration and the reduction of the mutual coupling effect. However, because of the existence of holes in its coarray, the performance of subspace-based direction of arrival (DOA) estimation algorithms such as MUSIC and ESPRIT is limited. Several coarray interpolation approaches have been proposed to address this issue. In this paper, a novel DOA estimation approach via direct coarray interpolation is proposed. By using the direct coarray interpolation, the reshaping and spatial smoothing operations in coarray-based DOA estimation are not needed. Compared with existing approaches, the proposed approach can achieve a better accuracy with lower complexity. In addition, an improved angular resolution capability is obtained by using the proposed approach. Numerical simulations are conducted to validate the effectiveness of the proposed approach. View Full-Text
Keywords: coarray interpolation; DOA estimation; MUSIC; nuclear norm; sparse array coarray interpolation; DOA estimation; MUSIC; nuclear norm; sparse array

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Chen, T.; Guo, M.; Guo, L. A Direct Coarray Interpolation Approach for Direction Finding. Sensors 2017, 17, 2149.

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