Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling

Abstract Mutual coupling (MC) between array elements can lead to severe accuracy degradation in direction‐of‐arrival (DOA) estimation. In this study, an off‐grid compressed sensing (CS) approach for DOA estimation in the presence of unknown MC is proposed using block Newtonised orthogonal matching p...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Wen‐Gen Tang, Hong Jiang, Qi Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	array signal processing compressed sensing direction‐of‐arrival estimation Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/a10156ad7b444c5590efca0a1dcf09d5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a10156ad7b444c5590efca0a1dcf09d5
record_format	dspace
spelling	oai:doaj.org-article:a10156ad7b444c5590efca0a1dcf09d52021-11-09T10:16:47ZBlock Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling1751-96831751-967510.1049/sil2.12068https://doaj.org/article/a10156ad7b444c5590efca0a1dcf09d52021-12-01T00:00:00Zhttps://doi.org/10.1049/sil2.12068https://doaj.org/toc/1751-9675https://doaj.org/toc/1751-9683Abstract Mutual coupling (MC) between array elements can lead to severe accuracy degradation in direction‐of‐arrival (DOA) estimation. In this study, an off‐grid compressed sensing (CS) approach for DOA estimation in the presence of unknown MC is proposed using block Newtonised orthogonal matching pursuit (NOMP). First, the model of DOA estimation with MC is block sparsely represented to fully utilise the whole array aperture. Then, a block NOMP algorithm with multiple measurement vectors (MMV) is developed to achieve the estimates of DOA, in which the Newton refinement procedure is presented by deriving the first‐ and second‐order derivatives of the block steering matrix with respect to the angle grid. Compared with the subspace‐based and sparse recovery‐based methods with MC, the proposed block NOMP approach has robustness in a small number of snapshots and owns no grid‐mismatch effect. Meanwhile, in comparison to several existing off‐grid DOA estimation methods with MC, it can achieve higher estimation accuracy and similarly low computational complexity. The superior performance of the proposed approach is shown via numerical simulations.Wen‐Gen TangHong JiangQi ZhangWileyarticlearray signal processingcompressed sensingdirection‐of‐arrival estimationTelecommunicationTK5101-6720ENIET Signal Processing, Vol 15, Iss 9, Pp 666-673 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	array signal processing compressed sensing direction‐of‐arrival estimation Telecommunication TK5101-6720
spellingShingle	array signal processing compressed sensing direction‐of‐arrival estimation Telecommunication TK5101-6720 Wen‐Gen Tang Hong Jiang Qi Zhang Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling
description	Abstract Mutual coupling (MC) between array elements can lead to severe accuracy degradation in direction‐of‐arrival (DOA) estimation. In this study, an off‐grid compressed sensing (CS) approach for DOA estimation in the presence of unknown MC is proposed using block Newtonised orthogonal matching pursuit (NOMP). First, the model of DOA estimation with MC is block sparsely represented to fully utilise the whole array aperture. Then, a block NOMP algorithm with multiple measurement vectors (MMV) is developed to achieve the estimates of DOA, in which the Newton refinement procedure is presented by deriving the first‐ and second‐order derivatives of the block steering matrix with respect to the angle grid. Compared with the subspace‐based and sparse recovery‐based methods with MC, the proposed block NOMP approach has robustness in a small number of snapshots and owns no grid‐mismatch effect. Meanwhile, in comparison to several existing off‐grid DOA estimation methods with MC, it can achieve higher estimation accuracy and similarly low computational complexity. The superior performance of the proposed approach is shown via numerical simulations.
format	article
author	Wen‐Gen Tang Hong Jiang Qi Zhang
author_facet	Wen‐Gen Tang Hong Jiang Qi Zhang
author_sort	Wen‐Gen Tang
title	Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling
title_short	Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling
title_full	Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling
title_fullStr	Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling
title_full_unstemmed	Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling
title_sort	block newtonised orthogonal matching pursuit for off‐grid doa estimation in the presence of unknown mutual coupling
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/a10156ad7b444c5590efca0a1dcf09d5
work_keys_str_mv	AT wengentang blocknewtonisedorthogonalmatchingpursuitforoffgriddoaestimationinthepresenceofunknownmutualcoupling AT hongjiang blocknewtonisedorthogonalmatchingpursuitforoffgriddoaestimationinthepresenceofunknownmutualcoupling AT qizhang blocknewtonisedorthogonalmatchingpursuitforoffgriddoaestimationinthepresenceofunknownmutualcoupling
_version_	1718441133811433472

Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling

Ejemplares similares