Dynamic Prediction of Full-Ocean Depth SSP by Hierarchical LSTM: An Experimental Result
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866909555488718848 |
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| author | Lu, Jiajun Huang, Wei Zhang, Hao |
| author_facet | Lu, Jiajun Huang, Wei Zhang, Hao |
| contents | SSP distribution is an important parameter for underwater positioning, navigation and timing (PNT) because it affects the propagation mode of underwater acoustic signals. To accurate predict future sound speed distribution, we propose a hierarchical long short--term memory (H--LSTM) neural network for future sound speed prediction, which explore the distribution pattern of sound velocity in the time dimension. To verify the feasibility and effectiveness, we conducted both simulations and real experiments. The ocean experiment was held in the South China Sea in April, 2023. Results show that the accuracy of the proposed method outperforms the state--of--the--art methods. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2310_09522 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Dynamic Prediction of Full-Ocean Depth SSP by Hierarchical LSTM: An Experimental Result Lu, Jiajun Huang, Wei Zhang, Hao Sound Audio and Speech Processing Signal Processing SSP distribution is an important parameter for underwater positioning, navigation and timing (PNT) because it affects the propagation mode of underwater acoustic signals. To accurate predict future sound speed distribution, we propose a hierarchical long short--term memory (H--LSTM) neural network for future sound speed prediction, which explore the distribution pattern of sound velocity in the time dimension. To verify the feasibility and effectiveness, we conducted both simulations and real experiments. The ocean experiment was held in the South China Sea in April, 2023. Results show that the accuracy of the proposed method outperforms the state--of--the--art methods. |
| title | Dynamic Prediction of Full-Ocean Depth SSP by Hierarchical LSTM: An Experimental Result |
| topic | Sound Audio and Speech Processing Signal Processing |
| url | https://arxiv.org/abs/2310.09522 |