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

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, explo...

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Detalles Bibliográficos
Autores principales: Wang, Xianpeng, Wang, Wei, Li, Xin, Liu, Qi, Liu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851053/
https://www.ncbi.nlm.nih.gov/pubmed/27089345
http://dx.doi.org/10.3390/s16040539
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author Wang, Xianpeng
Wang, Wei
Li, Xin
Liu, Qi
Liu, Jing
author_facet Wang, Xianpeng
Wang, Wei
Li, Xin
Liu, Qi
Liu, Jing
author_sort Wang, Xianpeng
collection PubMed
description 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 [Formula: see text] 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 [Formula: see text] 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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spelling pubmed-48510532016-05-04 Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar Wang, Xianpeng Wang, Wei Li, Xin Liu, Qi Liu, Jing Sensors (Basel) Article 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 [Formula: see text] 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 [Formula: see text] 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. MDPI 2016-04-14 /pmc/articles/PMC4851053/ /pubmed/27089345 http://dx.doi.org/10.3390/s16040539 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Xianpeng
Wang, Wei
Li, Xin
Liu, Qi
Liu, Jing
Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
title Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
title_full Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
title_fullStr Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
title_full_unstemmed Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
title_short Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
title_sort sparsity-aware doa estimation scheme for noncircular source in mimo radar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851053/
https://www.ncbi.nlm.nih.gov/pubmed/27089345
http://dx.doi.org/10.3390/s16040539
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