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DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table

In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) an...

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Detalles Bibliográficos
Autores principales: Zhang, Weike, Chen, Xi, Cui, Kaibo, Xie, Tao, Yuan, Naichang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164355/
https://www.ncbi.nlm.nih.gov/pubmed/30213028
http://dx.doi.org/10.3390/s18093043
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author Zhang, Weike
Chen, Xi
Cui, Kaibo
Xie, Tao
Yuan, Naichang
author_facet Zhang, Weike
Chen, Xi
Cui, Kaibo
Xie, Tao
Yuan, Naichang
author_sort Zhang, Weike
collection PubMed
description In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) and a lookup table method. The proposed algorithm does not require a spatial spectrum search and uses a lookup table to solve ambiguity, which reduces the computational complexity. To fully use the subarray elements, the DOA estimation precision is higher compared with existing algorithms. Moreover, the algorithm avoids the matching error when multiple signals exist by using the relationship between the signal subspace of two subarrays. Simulation results verify the effectiveness of the proposed algorithm.
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spelling pubmed-61643552018-10-10 DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table Zhang, Weike Chen, Xi Cui, Kaibo Xie, Tao Yuan, Naichang Sensors (Basel) Article In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) and a lookup table method. The proposed algorithm does not require a spatial spectrum search and uses a lookup table to solve ambiguity, which reduces the computational complexity. To fully use the subarray elements, the DOA estimation precision is higher compared with existing algorithms. Moreover, the algorithm avoids the matching error when multiple signals exist by using the relationship between the signal subspace of two subarrays. Simulation results verify the effectiveness of the proposed algorithm. MDPI 2018-09-12 /pmc/articles/PMC6164355/ /pubmed/30213028 http://dx.doi.org/10.3390/s18093043 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Weike
Chen, Xi
Cui, Kaibo
Xie, Tao
Yuan, Naichang
DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table
title DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table
title_full DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table
title_fullStr DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table
title_full_unstemmed DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table
title_short DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table
title_sort doa estimation for coprime linear array based on mi-esprit and lookup table
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164355/
https://www.ncbi.nlm.nih.gov/pubmed/30213028
http://dx.doi.org/10.3390/s18093043
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