Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements

This paper presents a strategy called the alternating iterative minimization method (AIMM), aimed at enhancing the precision of direction of arrival (DOA) estimation when utilizing an acoustic vector sensor array (AVSA) with unknown swing deviation elements (SDEs). The AVSA model with unknown SDEs i...

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Main Authors: Weidong Wang, Linya Ma, Wentao Shi, Wasiq Ali
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/16/19/3634
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author Weidong Wang
Linya Ma
Wentao Shi
Wasiq Ali
author_facet Weidong Wang
Linya Ma
Wentao Shi
Wasiq Ali
author_sort Weidong Wang
collection DOAJ
description This paper presents a strategy called the alternating iterative minimization method (AIMM), aimed at enhancing the precision of direction of arrival (DOA) estimation when utilizing an acoustic vector sensor array (AVSA) with unknown swing deviation elements (SDEs). The AVSA model with unknown SDEs is formulated by incorporating the swing deviation parameter. Later, to estimate the swing deviation matrix (SDM) and the sparse signal power by using the alternating iteration method, the auxiliary cost functions with respect to SDM and the sparse signal power are formulated based on the regularized weighted least squares (RWLS) and regularized covariance matrix fitting (RCMF) criteria. Furthermore, their analytical expressions have also been quantified. In order to mitigate the effect of unknown SDEs on the accuracy of DOA estimation, any sub-time segment (STS) in the dataset is selected as the reference to convert the received data of different STS into the reference STS using the estimated SDM. The simulation and experimental outcomes conclusively represent the effectiveness of the suggested TSIM approach using AVSA in handling unknown SDEs.
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spelling doaj-art-a3dc05a9699b4af394db8e7a72c42db52025-08-20T01:47:33ZengMDPI AGRemote Sensing2072-42922024-09-011619363410.3390/rs16193634Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation ElementsWeidong Wang0Linya Ma1Wentao Shi2Wasiq Ali3School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454000, ChinaSchool of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454000, ChinaOcean Institute, Northwestern Polytechnical University, Taicang 215400, ChinaCollege of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, ChinaThis paper presents a strategy called the alternating iterative minimization method (AIMM), aimed at enhancing the precision of direction of arrival (DOA) estimation when utilizing an acoustic vector sensor array (AVSA) with unknown swing deviation elements (SDEs). The AVSA model with unknown SDEs is formulated by incorporating the swing deviation parameter. Later, to estimate the swing deviation matrix (SDM) and the sparse signal power by using the alternating iteration method, the auxiliary cost functions with respect to SDM and the sparse signal power are formulated based on the regularized weighted least squares (RWLS) and regularized covariance matrix fitting (RCMF) criteria. Furthermore, their analytical expressions have also been quantified. In order to mitigate the effect of unknown SDEs on the accuracy of DOA estimation, any sub-time segment (STS) in the dataset is selected as the reference to convert the received data of different STS into the reference STS using the estimated SDM. The simulation and experimental outcomes conclusively represent the effectiveness of the suggested TSIM approach using AVSA in handling unknown SDEs.https://www.mdpi.com/2072-4292/16/19/3634acoustic vector sensor array (AVSA)swing deviation elements (SDEs)iterative minimizationdirection of arrival (DOA)
spellingShingle Weidong Wang
Linya Ma
Wentao Shi
Wasiq Ali
Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements
Remote Sensing
acoustic vector sensor array (AVSA)
swing deviation elements (SDEs)
iterative minimization
direction of arrival (DOA)
title Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements
title_full Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements
title_fullStr Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements
title_full_unstemmed Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements
title_short Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements
title_sort robust underwater direction of arrival estimation method using acoustic sensor array under unknown swing deviation elements
topic acoustic vector sensor array (AVSA)
swing deviation elements (SDEs)
iterative minimization
direction of arrival (DOA)
url https://www.mdpi.com/2072-4292/16/19/3634
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