17 citations · 63 across the 9 of their papers we have counts for
5 papers · 1 filter
A Multimodal Data Fusion Attention-Empowered Generative Adversarial Network for Real Time 3D Underwater Sound Speed Field Construction
Wei Huang, Yuqiang Huang, Jixuan Zhou +4
Sound speed profiles (SSPs) are crucial underwater parameters that determine the propagation patterns of acoustic signals, directly influencing the energy efficiency of underwater…
STNet: Prediction of Underwater Sound Speed Profiles with An Advanced Semi-Transformer Neural Network
Wei Huang, Jiajun Lu, Hao Zhang +1
Real time acquisition of accurate underwater sound velocity profile (SSP) is crucial for tracking the propagation trajectory of underwater acoustic signals, making it play a key ro…
A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition
Wei Huang, Shumeng Sun, Junpeng Lu +3
Underwater acoustic target recognition (UATR) is of great significance for the protection of marine diversity and national defense security. The development of deep learning provid…
Future Full-Ocean Deep SSPs Prediction based on Hierarchical Long Short-Term Memory Neural Networks
Jiajun Lu, Hao Zhang, Pengfei Wu +2
The spatial-temporal distribution of underwater sound velocity affects the propagation mode of underwater acoustic signals. Therefore, rapid estimation and prediction of underwater…
Dynamic Prediction of Full-Ocean Depth SSP by Hierarchical LSTM: An Experimental Result
Jiajun Lu, Wei Huang, Hao Zhang
SSP distribution is an important parameter for underwater positioning, navigation and timing (PNT) because it affects the propagation mode of underwater acoustic signals. To accura…