Tensor‐based matched‐field processing applied to the SWellEx‐96 data
Abstract This study proposed a matched field source localization method based on tensor decomposition. By considering the advantages of tensors in multidimensional data processing, a three‐dimensional tensor signal model of space‐time‐frequency is constructed, and the signal subspace is estimated us...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-11-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.13039 |
| _version_ | 1797449143591895040 |
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| author | Fangwei Zhu Guangying Zheng Xiaowei Guo Fangyong Wang Shuanping Du Linlang Bai |
| author_facet | Fangwei Zhu Guangying Zheng Xiaowei Guo Fangyong Wang Shuanping Du Linlang Bai |
| author_sort | Fangwei Zhu |
| collection | DOAJ |
| description | Abstract This study proposed a matched field source localization method based on tensor decomposition. By considering the advantages of tensors in multidimensional data processing, a three‐dimensional tensor signal model of space‐time‐frequency is constructed, and the signal subspace is estimated using high‐order singular value decomposition. The source position is estimated by matching the measured data tensor signal subspace with the replica field tensor signal subspace. The S5 event data of SWellEx‐96 is processed by the proposed tensor‐based matched‐field processing (TMFP). The comparison with the results of conventional matched field processing shows that TMFP has a better suppression effect on ambient noise under low SNR and better source localization performance. |
| first_indexed | 2024-03-09T14:21:29Z |
| format | Article |
| id | doaj.art-5f100a24769742af8098b870d3a94671 |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-03-09T14:21:29Z |
| publishDate | 2023-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-5f100a24769742af8098b870d3a946712023-11-28T11:20:34ZengWileyElectronics Letters0013-51941350-911X2023-11-015922n/an/a10.1049/ell2.13039Tensor‐based matched‐field processing applied to the SWellEx‐96 dataFangwei Zhu0Guangying Zheng1Xiaowei Guo2Fangyong Wang3Shuanping Du4Linlang Bai5Science and Technology on Sonar Laboratory Hangzhou ChinaScience and Technology on Sonar Laboratory Hangzhou ChinaScience and Technology on Sonar Laboratory Hangzhou ChinaScience and Technology on Sonar Laboratory Hangzhou ChinaScience and Technology on Sonar Laboratory Hangzhou ChinaScience and Technology on Sonar Laboratory Hangzhou ChinaAbstract This study proposed a matched field source localization method based on tensor decomposition. By considering the advantages of tensors in multidimensional data processing, a three‐dimensional tensor signal model of space‐time‐frequency is constructed, and the signal subspace is estimated using high‐order singular value decomposition. The source position is estimated by matching the measured data tensor signal subspace with the replica field tensor signal subspace. The S5 event data of SWellEx‐96 is processed by the proposed tensor‐based matched‐field processing (TMFP). The comparison with the results of conventional matched field processing shows that TMFP has a better suppression effect on ambient noise under low SNR and better source localization performance.https://doi.org/10.1049/ell2.13039acoustic fieldacoustic signal processing |
| spellingShingle | Fangwei Zhu Guangying Zheng Xiaowei Guo Fangyong Wang Shuanping Du Linlang Bai Tensor‐based matched‐field processing applied to the SWellEx‐96 data Electronics Letters acoustic field acoustic signal processing |
| title | Tensor‐based matched‐field processing applied to the SWellEx‐96 data |
| title_full | Tensor‐based matched‐field processing applied to the SWellEx‐96 data |
| title_fullStr | Tensor‐based matched‐field processing applied to the SWellEx‐96 data |
| title_full_unstemmed | Tensor‐based matched‐field processing applied to the SWellEx‐96 data |
| title_short | Tensor‐based matched‐field processing applied to the SWellEx‐96 data |
| title_sort | tensor based matched field processing applied to the swellex 96 data |
| topic | acoustic field acoustic signal processing |
| url | https://doi.org/10.1049/ell2.13039 |
| work_keys_str_mv | AT fangweizhu tensorbasedmatchedfieldprocessingappliedtotheswellex96data AT guangyingzheng tensorbasedmatchedfieldprocessingappliedtotheswellex96data AT xiaoweiguo tensorbasedmatchedfieldprocessingappliedtotheswellex96data AT fangyongwang tensorbasedmatchedfieldprocessingappliedtotheswellex96data AT shuanpingdu tensorbasedmatchedfieldprocessingappliedtotheswellex96data AT linlangbai tensorbasedmatchedfieldprocessingappliedtotheswellex96data |