5 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 Multi-Modal Data Fusion Model for Real-Time Estimation of Underwater Sound Velocity
Pengfei Wu, Wei Huang, Yujie Shi +1
The estimation of underwater sound velocity distribution serves as a critical basis for facilitating effective underwater communication and precise positioning, given that variatio…