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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-4851053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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