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Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm

This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM...

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Detalles Bibliográficos
Autores principales: Xu, Yidong, Shang, Wenjing, Guo, Lili, Qi, Junwei, Li, Yingsong, Xue, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855325/
https://www.ncbi.nlm.nih.gov/pubmed/29439495
http://dx.doi.org/10.3390/s18020554
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author Xu, Yidong
Shang, Wenjing
Guo, Lili
Qi, Junwei
Li, Yingsong
Xue, Wei
author_facet Xu, Yidong
Shang, Wenjing
Guo, Lili
Qi, Junwei
Li, Yingsong
Xue, Wei
author_sort Xu, Yidong
collection PubMed
description This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM) is introduced to analyze the boundary of the target by use of a matrix equation. In this method, an electric dipole source as a part of the locating system is set perpendicularly to the plane of the UCA. As a result, the UCA can only receive the induction field of the target. The potential of each electrode of the UCA is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields-based localization method, which can be easily implemented in practical engineering applications. A simulation model and a physical experiment are constructed. The simulation and the experiment results provide accurate positioning performance, with the help of verifying the effectiveness of the proposed localization method in underwater target locating.
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spelling pubmed-58553252018-03-20 Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm Xu, Yidong Shang, Wenjing Guo, Lili Qi, Junwei Li, Yingsong Xue, Wei Sensors (Basel) Article This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM) is introduced to analyze the boundary of the target by use of a matrix equation. In this method, an electric dipole source as a part of the locating system is set perpendicularly to the plane of the UCA. As a result, the UCA can only receive the induction field of the target. The potential of each electrode of the UCA is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields-based localization method, which can be easily implemented in practical engineering applications. A simulation model and a physical experiment are constructed. The simulation and the experiment results provide accurate positioning performance, with the help of verifying the effectiveness of the proposed localization method in underwater target locating. MDPI 2018-02-11 /pmc/articles/PMC5855325/ /pubmed/29439495 http://dx.doi.org/10.3390/s18020554 Text en © 2018 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
Xu, Yidong
Shang, Wenjing
Guo, Lili
Qi, Junwei
Li, Yingsong
Xue, Wei
Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
title Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
title_full Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
title_fullStr Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
title_full_unstemmed Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
title_short Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
title_sort active electro-location of objects in the underwater environment based on the mixed polarization multiple signal classification algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855325/
https://www.ncbi.nlm.nih.gov/pubmed/29439495
http://dx.doi.org/10.3390/s18020554
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