A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR
In this paper, the Star-Transformer model is improved to obtain more accurate direction of arrivals (DOA) estimation of underwater sonar uniform linear array (ULA) under low signal-to-noise ratio (SNR) conditions. The ideal real covariance matrix is divided into three channels: real part channel, im...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | IET Signal Processing |
| Online Access: | http://dx.doi.org/10.1049/2024/6666395 |
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| _version_ | 1832558487015522304 |
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| author | Wei Wang Lang Zhou Kun Ye Haixin Sun Shaohua Hong |
| author_facet | Wei Wang Lang Zhou Kun Ye Haixin Sun Shaohua Hong |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | In this paper, the Star-Transformer model is improved to obtain more accurate direction of arrivals (DOA) estimation of underwater sonar uniform linear array (ULA) under low signal-to-noise ratio (SNR) conditions. The ideal real covariance matrix is divided into three channels: real part channel, imaginary part channel, and phase channel to obtain more input features. In training, the real covariance matrix is used under different SNRs. In testing, the covariance matrix of samples in the real environment is used as input. The on-grid form is used to estimate the DOA of multiple signal sources, which is modelled as a multilabel classification problem. The results show that the model can be effective and can still have a good DOA estimation performance under the conditions of trained and untrained SNRs, different snapshots, signal power mismatch, different separation angles, signal correlation, and so on. It shows that the model has excellent robustness. |
| format | Article |
| id | doaj-art-e4919b7f6bda4754b136cd63055aaf2b |
| institution | Kabale University |
| issn | 1751-9683 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-e4919b7f6bda4754b136cd63055aaf2b2025-02-03T01:32:20ZengWileyIET Signal Processing1751-96832024-01-01202410.1049/2024/6666395A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNRWei Wang0Lang Zhou1Kun Ye2Haixin Sun3Shaohua Hong4School of InformaticsSchool of Electronic Science and EngineeringSchool of InformaticsSchool of InformaticsSchool of InformaticsIn this paper, the Star-Transformer model is improved to obtain more accurate direction of arrivals (DOA) estimation of underwater sonar uniform linear array (ULA) under low signal-to-noise ratio (SNR) conditions. The ideal real covariance matrix is divided into three channels: real part channel, imaginary part channel, and phase channel to obtain more input features. In training, the real covariance matrix is used under different SNRs. In testing, the covariance matrix of samples in the real environment is used as input. The on-grid form is used to estimate the DOA of multiple signal sources, which is modelled as a multilabel classification problem. The results show that the model can be effective and can still have a good DOA estimation performance under the conditions of trained and untrained SNRs, different snapshots, signal power mismatch, different separation angles, signal correlation, and so on. It shows that the model has excellent robustness.http://dx.doi.org/10.1049/2024/6666395 |
| spellingShingle | Wei Wang Lang Zhou Kun Ye Haixin Sun Shaohua Hong A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR IET Signal Processing |
| title | A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR |
| title_full | A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR |
| title_fullStr | A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR |
| title_full_unstemmed | A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR |
| title_short | A DOA Estimation Method Based on an Improved Transformer Model for Uniform Linear Arrays with Low SNR |
| title_sort | doa estimation method based on an improved transformer model for uniform linear arrays with low snr |
| url | http://dx.doi.org/10.1049/2024/6666395 |
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