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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MDPI AG
2024-09-01
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| 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 |
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| 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. |
| format | Article |
| id | doaj-art-a3dc05a9699b4af394db8e7a72c42db5 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| 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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