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A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array

This paper proposes a low-complexity method to estimate the direction of arrival and polarization based on the polarization sensitive array (PSA) which is composed of cross-dipoles. We built a half-quaternions model through the Cayley–Dickson form to remove the redundant information. Then, the direc...

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Detalles Bibliográficos
Autores principales: Dong, Wen, Diao, Ming, Gao, Lipeng, Liu, Lutao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470915/
https://www.ncbi.nlm.nih.gov/pubmed/28531115
http://dx.doi.org/10.3390/s17051170
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author Dong, Wen
Diao, Ming
Gao, Lipeng
Liu, Lutao
author_facet Dong, Wen
Diao, Ming
Gao, Lipeng
Liu, Lutao
author_sort Dong, Wen
collection PubMed
description This paper proposes a low-complexity method to estimate the direction of arrival and polarization based on the polarization sensitive array (PSA) which is composed of cross-dipoles. We built a half-quaternions model through the Cayley–Dickson form to remove the redundant information. Then, the directions of arrival (DOAs) were estimated via the root-MUSIC algorithm. Finally, the polarizations were estimated by generalized eigenvalue method. Unlike some existing searching algorithms, such as multiple signal classification (MUSIC), this method can avoid the peak searching and maintains high estimation accuracy. Moreover, we use the oblique projection operators to filter out the interference signals which are decoys of the target signal. Simulation results demonstrate the effectiveness and favorable performance of the proposed method.
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spelling pubmed-54709152017-06-16 A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array Dong, Wen Diao, Ming Gao, Lipeng Liu, Lutao Sensors (Basel) Article This paper proposes a low-complexity method to estimate the direction of arrival and polarization based on the polarization sensitive array (PSA) which is composed of cross-dipoles. We built a half-quaternions model through the Cayley–Dickson form to remove the redundant information. Then, the directions of arrival (DOAs) were estimated via the root-MUSIC algorithm. Finally, the polarizations were estimated by generalized eigenvalue method. Unlike some existing searching algorithms, such as multiple signal classification (MUSIC), this method can avoid the peak searching and maintains high estimation accuracy. Moreover, we use the oblique projection operators to filter out the interference signals which are decoys of the target signal. Simulation results demonstrate the effectiveness and favorable performance of the proposed method. MDPI 2017-05-20 /pmc/articles/PMC5470915/ /pubmed/28531115 http://dx.doi.org/10.3390/s17051170 Text en © 2017 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
Dong, Wen
Diao, Ming
Gao, Lipeng
Liu, Lutao
A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array
title A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array
title_full A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array
title_fullStr A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array
title_full_unstemmed A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array
title_short A Low-Complexity DOA and Polarization Method of Polarization-Sensitive Array
title_sort low-complexity doa and polarization method of polarization-sensitive array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470915/
https://www.ncbi.nlm.nih.gov/pubmed/28531115
http://dx.doi.org/10.3390/s17051170
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