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

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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Main Authors: Yidong Xu, Wenjing Shang, Lili Guo, Junwei Qi, Yingsong Li, Wei Xue
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Sensors
Subjects:
active electro-location
underwater
MP-MUSIC algorithm
electric dipole source
UCA
Online Access:http://www.mdpi.com/1424-8220/18/2/554
id doaj-ff268cdc6ebf4720904e6ab71b0f31da
record_format Article
spelling doaj-ff268cdc6ebf4720904e6ab71b0f31da2020-11-24T21:58:37ZengMDPI AGSensors1424-82202018-02-0118255410.3390/s18020554s18020554Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification AlgorithmYidong Xu0Wenjing Shang1Lili Guo2Junwei Qi3Yingsong Li4Wei Xue5College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaThis 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.http://www.mdpi.com/1424-8220/18/2/554active electro-locationunderwaterMP-MUSIC algorithmelectric dipole sourceUCA
collection DOAJ
language English
format Article
sources DOAJ
author Yidong Xu
Wenjing Shang
Lili Guo
Junwei Qi
Yingsong Li
Wei Xue
spellingShingle Yidong Xu
Wenjing Shang
Lili Guo
Junwei Qi
Yingsong Li
Wei Xue
Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
Sensors
active electro-location
underwater
MP-MUSIC algorithm
electric dipole source
UCA
author_facet Yidong Xu
Wenjing Shang
Lili Guo
Junwei Qi
Yingsong Li
Wei Xue
author_sort Yidong Xu
title 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_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_sort active electro-location of objects in the underwater environment based on the mixed polarization multiple signal classification algorithm
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2018-02-01
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.
topic active electro-location
underwater
MP-MUSIC algorithm
electric dipole source
UCA
url http://www.mdpi.com/1424-8220/18/2/554
work_keys_str_mv AT yidongxu activeelectrolocationofobjectsintheunderwaterenvironmentbasedonthemixedpolarizationmultiplesignalclassificationalgorithm
AT wenjingshang activeelectrolocationofobjectsintheunderwaterenvironmentbasedonthemixedpolarizationmultiplesignalclassificationalgorithm
AT liliguo activeelectrolocationofobjectsintheunderwaterenvironmentbasedonthemixedpolarizationmultiplesignalclassificationalgorithm
AT junweiqi activeelectrolocationofobjectsintheunderwaterenvironmentbasedonthemixedpolarizationmultiplesignalclassificationalgorithm
AT yingsongli activeelectrolocationofobjectsintheunderwaterenvironmentbasedonthemixedpolarizationmultiplesignalclassificationalgorithm
AT weixue activeelectrolocationofobjectsintheunderwaterenvironmentbasedonthemixedpolarizationmultiplesignalclassificationalgorithm
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