A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays

Abstract When there is the coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms using coarray are fail. In order to solve this problem, the letter proposes a novel method based on compressed sensing. Firstly, the authors vectorize the covariance matrix and e...

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Autores principales:	Peng Han, Haiyun Xu, Weijia Cui, Yankui Zhang, Bin Ba
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/2b2652b354a74e048850c18639cc39d7
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id	oai:doaj.org-article:2b2652b354a74e048850c18639cc39d7
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spelling	oai:doaj.org-article:2b2652b354a74e048850c18639cc39d72021-12-03T08:34:31ZA novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays1350-911X0013-519410.1049/ell2.12320https://doaj.org/article/2b2652b354a74e048850c18639cc39d72021-12-01T00:00:00Zhttps://doi.org/10.1049/ell2.12320https://doaj.org/toc/0013-5194https://doaj.org/toc/1350-911XAbstract When there is the coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms using coarray are fail. In order to solve this problem, the letter proposes a novel method based on compressed sensing. Firstly, the authors vectorize the covariance matrix and establish a sparse representation model through constructing a two‐dimensional redundant dictionary. Then, the authors use an improved orthogonal matching pursuit algorithm for off‐grid sources to recover the sparse vector. Through analysing location of non‐zero elements in sparse vector, the direction‐of‐arrivals of both uncorrelated and coherent signals can be obtained. The proposed method has no strict limitation by the structure of the existing sparse arrays. Moreover, it makes full use of vectorized data and can estimate more number of signals than that of sensors. Numerical experiments prove the effectiveness and favourable performance of the proposed method.Peng HanHaiyun XuWeijia CuiYankui ZhangBin BaWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENElectronics Letters, Vol 57, Iss 25, Pp 995-997 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Electrical engineering. Electronics. Nuclear engineering TK1-9971 Peng Han Haiyun Xu Weijia Cui Yankui Zhang Bin Ba A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
description	Abstract When there is the coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms using coarray are fail. In order to solve this problem, the letter proposes a novel method based on compressed sensing. Firstly, the authors vectorize the covariance matrix and establish a sparse representation model through constructing a two‐dimensional redundant dictionary. Then, the authors use an improved orthogonal matching pursuit algorithm for off‐grid sources to recover the sparse vector. Through analysing location of non‐zero elements in sparse vector, the direction‐of‐arrivals of both uncorrelated and coherent signals can be obtained. The proposed method has no strict limitation by the structure of the existing sparse arrays. Moreover, it makes full use of vectorized data and can estimate more number of signals than that of sensors. Numerical experiments prove the effectiveness and favourable performance of the proposed method.
format	article
author	Peng Han Haiyun Xu Weijia Cui Yankui Zhang Bin Ba
author_facet	Peng Han Haiyun Xu Weijia Cui Yankui Zhang Bin Ba
author_sort	Peng Han
title	A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
title_short	A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
title_full	A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
title_fullStr	A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
title_full_unstemmed	A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
title_sort	novel doa estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/2b2652b354a74e048850c18639cc39d7
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A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays

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