Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays
Abstract In order to eliminate the influence of acoustic velocity variable on the estimation accuracy when the signal propagates under water, this paper proposes a velocity‐independent two‐dimensional (2‐D) direction‐of‐arrival (DOA) estimation algorithm with three parallel uniform linear arrays. Ba...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-02-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12081 |
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| _version_ | 1849435068663070720 |
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| author | Gengxin Ning Shujia Zhang Jun Zhang Cui Yang |
| author_facet | Gengxin Ning Shujia Zhang Jun Zhang Cui Yang |
| author_sort | Gengxin Ning |
| collection | DOAJ |
| description | Abstract In order to eliminate the influence of acoustic velocity variable on the estimation accuracy when the signal propagates under water, this paper proposes a velocity‐independent two‐dimensional (2‐D) direction‐of‐arrival (DOA) estimation algorithm with three parallel uniform linear arrays. Based on the double parallel linear arrays (DPLA), this algorithm adds another parallel linear array that is not in the same plane as DPLA, which is called three parallel linear arrays. By employing the matrix signal processing among those three arrays, the acoustic velocity variable can be removed from the expressions of elevation and azimuth. And the azimuth and elevation angles of the target are obtained by linear partitive operation, which does not need spectrum peak search or additional angle matching procedure. The simulation results demonstrate that the proposed algorithm performs better than the traditional 2‐D DOA algorithms in the underwater environment of unknown acoustic velocity. Compared with the velocity‐independent 2‐D DOA algorithm, it has lower computational complexity. |
| format | Article |
| id | doaj-art-e4ba69ff46884261891fed545f8ef012 |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-e4ba69ff46884261891fed545f8ef0122025-08-20T03:26:25ZengWileyIET Signal Processing1751-96751751-96832022-02-0116110611610.1049/sil2.12081Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arraysGengxin Ning0Shujia Zhang1Jun Zhang2Cui Yang3School of Electronic and Information Engineering South China University of Technology Guangzhou ChinaSchool of Electronic and Information Engineering South China University of Technology Guangzhou ChinaSchool of Electronic and Information Engineering South China University of Technology Guangzhou ChinaSchool of Electronic and Information Engineering South China University of Technology Guangzhou ChinaAbstract In order to eliminate the influence of acoustic velocity variable on the estimation accuracy when the signal propagates under water, this paper proposes a velocity‐independent two‐dimensional (2‐D) direction‐of‐arrival (DOA) estimation algorithm with three parallel uniform linear arrays. Based on the double parallel linear arrays (DPLA), this algorithm adds another parallel linear array that is not in the same plane as DPLA, which is called three parallel linear arrays. By employing the matrix signal processing among those three arrays, the acoustic velocity variable can be removed from the expressions of elevation and azimuth. And the azimuth and elevation angles of the target are obtained by linear partitive operation, which does not need spectrum peak search or additional angle matching procedure. The simulation results demonstrate that the proposed algorithm performs better than the traditional 2‐D DOA algorithms in the underwater environment of unknown acoustic velocity. Compared with the velocity‐independent 2‐D DOA algorithm, it has lower computational complexity.https://doi.org/10.1049/sil2.12081arraysarray signal processing |
| spellingShingle | Gengxin Ning Shujia Zhang Jun Zhang Cui Yang Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays IET Signal Processing arrays array signal processing |
| title | Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays |
| title_full | Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays |
| title_fullStr | Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays |
| title_full_unstemmed | Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays |
| title_short | Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays |
| title_sort | velocity independent two dimensional direction of arrival estimation algorithm with three parallel linear arrays |
| topic | arrays array signal processing |
| url | https://doi.org/10.1049/sil2.12081 |
| work_keys_str_mv | AT gengxinning velocityindependenttwodimensionaldirectionofarrivalestimationalgorithmwiththreeparallellineararrays AT shujiazhang velocityindependenttwodimensionaldirectionofarrivalestimationalgorithmwiththreeparallellineararrays AT junzhang velocityindependenttwodimensionaldirectionofarrivalestimationalgorithmwiththreeparallellineararrays AT cuiyang velocityindependenttwodimensionaldirectionofarrivalestimationalgorithmwiththreeparallellineararrays |