A Lightweight Wavelet Convolution-Hybrid Attention Network for Underwater Acoustic Target Recognition (opens in new tab)

Underwater acoustic target recognition (UATR) is an important technology for underwater security and information acquisition. Due to various factors such as noise interference, the accuracy of ship-radiated noise recognition is seriously limited. Considering the cost, efficiency, and real-time deployment of underwater recognition systems, we propose a new lightweight wavelet convolution-hybrid attention network (WT-HAN). Aiming at the contradictory problems of the number of model parameters, ...