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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6164355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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