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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-5038645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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