17 citations · 63 across the 9 of their papers we have counts for
10 papers
AI Empowered Communication and Radar Modulation Recognition: A Survey
Wei Huang, Pengfei Zhang, Huai Qin +4
Automatic modulation recognition (AMR) is of vital importance for ensuring communication and radar reliability, efficient spectrum utilization and resistance to electronic interfer…
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…
An Attention-Assisted AI Model for Real-Time Underwater Sound Speed Estimation Leveraging Remote Sensing Sea Surface Temperature Data
Pengfei Wu, Wei Huang, Yujie Shi +2
The estimation of underwater sound velocity distribution serves as a critical basis for facilitating effective underwater communication and precise positioning, given that variatio…
Optimal Reference Nodes Deployment for Positioning Seafloor Anchor Nodes
Wei Huang, Pengfei Wu, Tianhe Xu +2
Seafloor anchor nodes, which form a geodetic network, are designed to provide surface and underwater users with positioning, navigation and timing (PNT) services. Due to the non-un…
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…
Underwater Sound Speed Profile Construction: A Review
Wei Huang, Jixuan Zhou, Fan Gao +6
Real--time and accurate construction of regional sound speed profiles (SSP) is important for building underwater positioning, navigation, and timing (PNT) systems as it greatly aff…
Fast Ray-Tracing-Based Precise Underwater Acoustic Localization without Prior Acknowledgment of Target Depth
Wei Huang, Hao Zhang, Kaitao Meng +5
Underwater localization is of great importance for marine observation and building positioning, navigation, timing (PNT) systems that could be widely applied in disaster warning, u…