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Sensors 2016, 16(4), 539; doi:10.3390/s16040539

Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar

College of Automation, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China
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Academic Editor: Vittorio M. N. Passaro
Received: 30 December 2015 / Revised: 10 April 2016 / Accepted: 11 April 2016 / Published: 14 April 2016
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, a novel sparsity-aware direction of arrival (DOA) estimation scheme for a noncircular source is proposed in multiple-input multiple-output (MIMO) radar. In the proposed method, the reduced-dimensional transformation technique is adopted to eliminate the redundant elements. Then, exploiting the noncircularity of signals, a joint sparsity-aware scheme based on the reweighted l 1 norm penalty is formulated for DOA estimation, in which the diagonal elements of the weight matrix are the coefficients of the noncircular MUSIC-like (NC MUSIC-like) spectrum. Compared to the existing l 1 norm penalty-based methods, the proposed scheme provides higher angular resolution and better DOA estimation performance. Results from numerical experiments are used to show the effectiveness of our proposed method. View Full-Text
Keywords: MIMO radar; DOA estimation; noncircular signal; sparse representation; reweighted l1 norm penalty MIMO radar; DOA estimation; noncircular signal; sparse representation; reweighted l1 norm penalty
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, X.; Wang, W.; Li, X.; Liu, Q.; Liu, J. Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar. Sensors 2016, 16, 539.

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