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Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays

We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatia...

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Detalles Bibliográficos
Autores principales: Wang, Kun, He, Jin, Shu, Ting, Liu, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801624/
https://www.ncbi.nlm.nih.gov/pubmed/26907273
http://dx.doi.org/10.3390/s16020248
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author Wang, Kun
He, Jin
Shu, Ting
Liu, Zhong
author_facet Wang, Kun
He, Jin
Shu, Ting
Liu, Zhong
author_sort Wang, Kun
collection PubMed
description We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatial smoothing nor vector-field smoothing to decorrelate the signal coherency. We also establish that the angle-polarization parameters of K coherent signals can be uniquely determined by PARAFAC analysis, as long as the number of tripoles [Formula: see text]. In addition, the proposed algorithm can offer enhanced angle and polarization estimation accuracy by extending the interspacing of the tripoles beyond a half wavelength.
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spelling pubmed-48016242016-03-25 Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays Wang, Kun He, Jin Shu, Ting Liu, Zhong Sensors (Basel) Article We propose a parallel factor (PARAFAC) analysis-based angle and polarization estimation algorithm for multiple coherent sources using a uniformly-spaced linear tripole sensor array. By forming a PARAFAC model using the spatial signature of the tripole array, the new algorithm requires neither spatial smoothing nor vector-field smoothing to decorrelate the signal coherency. We also establish that the angle-polarization parameters of K coherent signals can be uniquely determined by PARAFAC analysis, as long as the number of tripoles [Formula: see text]. In addition, the proposed algorithm can offer enhanced angle and polarization estimation accuracy by extending the interspacing of the tripoles beyond a half wavelength. MDPI 2016-02-19 /pmc/articles/PMC4801624/ /pubmed/26907273 http://dx.doi.org/10.3390/s16020248 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 by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Kun
He, Jin
Shu, Ting
Liu, Zhong
Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
title Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
title_full Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
title_fullStr Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
title_full_unstemmed Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
title_short Angle-Polarization Estimation for Coherent Sources with Linear Tripole Sensor Arrays
title_sort angle-polarization estimation for coherent sources with linear tripole sensor arrays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801624/
https://www.ncbi.nlm.nih.gov/pubmed/26907273
http://dx.doi.org/10.3390/s16020248
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