STNet: Prediction of Underwater Sound Speed Profiles with an Advanced Semi-Transformer Neural Network

STNet: Prediction of Underwater Sound Speed Profiles with an Advanced Semi-Transformer Neural Network

The real-time acquisition of an accurate underwater sound velocity profile (SSP) is crucial for tracking the propagation trajectory of underwater acoustic signals, making it play a key role in ocean communication positioning. SSPs can be directly measured by instruments or inverted leveraging sound...

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Bibliographic Details
Main Authors: Wei Huang, Junpeng Lu, Jiajun Lu, Yanan Wu, Hao Zhang, Tianhe Xu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Journal of Marine Science and Engineering
Subjects:
self-attention mechanism
semi-transformer neural network (STNet)
sound speed profile (SSP)
time series prediction
Online Access:https://www.mdpi.com/2077-1312/13/7/1370
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