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DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture

Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates under array manifold perturbation and rank deficiency of the covariance matrix due to mutual coupling and multipath propagation, respectively. In this correspondence, the unknown mutual coupling can be ci...

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Detalles Bibliográficos
Autores principales: Wang, Yuexian, Trinkle, Matthew, Ng, Brian W.-H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721752/
https://www.ncbi.nlm.nih.gov/pubmed/26670235
http://dx.doi.org/10.3390/s151229832
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author Wang, Yuexian
Trinkle, Matthew
Ng, Brian W.-H.
author_facet Wang, Yuexian
Trinkle, Matthew
Ng, Brian W.-H.
author_sort Wang, Yuexian
collection PubMed
description Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates under array manifold perturbation and rank deficiency of the covariance matrix due to mutual coupling and multipath propagation, respectively. In this correspondence, the unknown mutual coupling can be circumvented by the proposed method without any passive or active calibration process, and the DOA of the coherent signals can be accurately estimated accordingly. With a newly constructed matrix, the deficient rank can be restored, and the effective array aperture can be extended compared with conventional spatial smoothing. The proposed method achieves a good robustness and DOA estimation accuracy with unknown mutual coupling. The simulation results demonstrate the validity and efficiency of the proposed method.
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spelling pubmed-47217522016-01-26 DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture Wang, Yuexian Trinkle, Matthew Ng, Brian W.-H. Sensors (Basel) Article Subspace-based high-resolution direction of arrival (DOA) estimation significantly deteriorates under array manifold perturbation and rank deficiency of the covariance matrix due to mutual coupling and multipath propagation, respectively. In this correspondence, the unknown mutual coupling can be circumvented by the proposed method without any passive or active calibration process, and the DOA of the coherent signals can be accurately estimated accordingly. With a newly constructed matrix, the deficient rank can be restored, and the effective array aperture can be extended compared with conventional spatial smoothing. The proposed method achieves a good robustness and DOA estimation accuracy with unknown mutual coupling. The simulation results demonstrate the validity and efficiency of the proposed method. MDPI 2015-12-08 /pmc/articles/PMC4721752/ /pubmed/26670235 http://dx.doi.org/10.3390/s151229832 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yuexian
Trinkle, Matthew
Ng, Brian W.-H.
DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
title DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
title_full DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
title_fullStr DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
title_full_unstemmed DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
title_short DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture
title_sort doa estimation under unknown mutual coupling and multipath with improved effective array aperture
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721752/
https://www.ncbi.nlm.nih.gov/pubmed/26670235
http://dx.doi.org/10.3390/s151229832
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