Details

Autor(en) / Beteiligte

• Li, Yanmiao
• Ge, Feng-Xiang
• Bai, Yanyu
• Li, Mengjia

Titel

Pseudo Ship-radiated Noise Generation Based on Adversarial Learning

Ist Teil von

• 2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops), 2021, p.222-227

Ort / Verlag

IEEE

Erscheinungsjahr

2021

Quelle

IEEE Xplore

Beschreibungen/Notizen

• The demand for acoustic positioning is increasing in various fields, meanwhile, it is very important to disturb acoustic positioning for underwater acoustics countermeasure and ship stealth technology. In this paper, a one-dimensional (ID) deep neural network based on adversarial learning to generate pseudo ship-radiated noises is presented, and a ID convolutional network for classification is also given for evaluating the generated pseudo ship-radiated noises. The experimental results show that the proposed solution is effective to generate pseudo ship-radiated noises.