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A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays

The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the tradit...

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Detalles Bibliográficos
Autores principales: Sun, Fenggang, Gao, Bin, Chen, Lizhen, Lan, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038645/
https://www.ncbi.nlm.nih.gov/pubmed/27571079
http://dx.doi.org/10.3390/s16091367
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author Sun, Fenggang
Gao, Bin
Chen, Lizhen
Lan, Peng
author_facet Sun, Fenggang
Gao, Bin
Chen, Lizhen
Lan, Peng
author_sort Sun, Fenggang
collection PubMed
description The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the traditional uniform linear array with half-wavelength spacing. Then, by applying the estimation of signal parameters via rotational invariance technique (ESPRIT), the equivalent DOAs are estimated, and the candidate DOAs are recovered according to the relationship among equivalent and true DOAs. Finally, the true DOAs are estimated by combining the results of the two subarrays. The proposed method achieves a better complexity–performance tradeoff as compared to other existing methods.
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spelling pubmed-50386452016-09-29 A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays Sun, Fenggang Gao, Bin Chen, Lizhen Lan, Peng Sensors (Basel) Communication The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the traditional uniform linear array with half-wavelength spacing. Then, by applying the estimation of signal parameters via rotational invariance technique (ESPRIT), the equivalent DOAs are estimated, and the candidate DOAs are recovered according to the relationship among equivalent and true DOAs. Finally, the true DOAs are estimated by combining the results of the two subarrays. The proposed method achieves a better complexity–performance tradeoff as compared to other existing methods. MDPI 2016-08-25 /pmc/articles/PMC5038645/ /pubmed/27571079 http://dx.doi.org/10.3390/s16091367 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 Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Sun, Fenggang
Gao, Bin
Chen, Lizhen
Lan, Peng
A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
title A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
title_full A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
title_fullStr A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
title_full_unstemmed A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
title_short A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays
title_sort low-complexity esprit-based doa estimation method for co-prime linear arrays
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038645/
https://www.ncbi.nlm.nih.gov/pubmed/27571079
http://dx.doi.org/10.3390/s16091367
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