Blind Detection of Underwater Acoustic Communication Signals Based on Deep Learning

Blind Detection of Underwater Acoustic Communication Signals Based on Deep Learning

Blind detection of underwater acoustic communication (UWAC) signals is challenging in non-cooperative reception scenarios. Difficulties include but not limited to complex underwater acoustic channels, diversity of signal categories, and data scarcity. To address these problems, we propose a novel bl...

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Bibliographic Details
Main Authors: Yongbin Li, Bin Wang, Gaoping Shao, Shuai Shao, Xilong Pei
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Underwater acoustic communication signals
blind detection
generative adversarial network
convolutional neural network
noise reduction
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9252877/

Internet

https://ieeexplore.ieee.org/document/9252877/

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