Research progress in artificial intelligence technology for underwater acoustic communications

被引：0
|
作者：
Chen Y. [1 ,2 ,3 ]
Xu X. [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Underwater Acoustic Communication and Marine Information Technology(Xiamen University), Ministry of Education, Xiamen
[2] College of Ocean and Earth Sciences, Xiamen University, Xiamen
[3] Shenzhen Research Institute of Xiamen University, Shenzhen
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2020年 / 41卷 / 10期
关键词：
Acoustic communications; Artificial intelligence; Deep learning; Internet of underwater things (IoUT); Machine learning; Underwater acoustic communications; Underwater acoustics; Underwater communications;
D O I：
10.11990/jheu.202007110
中图分类号：
学科分类号：
摘要：
Significant changes in the dynamics of the marine environment lead to complex time-space-frequency variations in underwater acoustic (UWA) channels. As yet, no UWA communication set has been developed that can meet UWA business metrics in various marine environments. It is even more difficult to realize large-scale, robust, and reliable UWA networking applications that can operate in all weather conditions. In recent years, the rapid development of artificial intelligence (AI) and big data has inspired new strategies for breaking through the bottleneck of traditional UWA communication technology by building an Internet of underwater things. In this paper, progress in AI research with respect to UWA communications in China and around the world is summarized. The characteristics of UWA channels are described and the main strategies for applying AI in the UWA communication field are clarified. The application of AI in UWA communications is summarized with respect to both the physical and network layers. Finally, the future intersection of AI and UWA communications research and its future prospects are summarized. Copyright ©2020 Journal of Harbin Engineering University.
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页码：1536 / 1544
页数：8
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