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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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2016, 16(4), 539; https://doi.org/10.3390/s16040539
Received: 30 December 2015
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Revised: 10 April 2016
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Accepted: 11 April 2016
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Published: 14 April 2016
(This article belongs to the Section Physical Sensors)
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 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 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.
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Keywords:
MIMO radar; DOA estimation; noncircular signal; sparse representation; reweighted l1 norm penalty
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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. https://doi.org/10.3390/s16040539
AMA 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(4):539. https://doi.org/10.3390/s16040539
Chicago/Turabian StyleWang, Xianpeng, Wei Wang, Xin Li, Qi Liu, and Jing Liu. 2016. "Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar" Sensors 16, no. 4: 539. https://doi.org/10.3390/s16040539
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