Deep Learning-Based Cyclic Shift Keying Spread Spectrum Underwater Acoustic Communication

Deep Learning-Based Cyclic Shift Keying Spread Spectrum Underwater Acoustic Communication

A deep learning-based cyclic shift keying spread spectrum (CSK-SS) underwater acoustic (UWA) communication system is proposed for improving the performance of the conventional system in low signal-to-noise ratio and multipath effects. The proposed deep learning-based system involves the long- and sh...

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Bibliographic Details
Main Authors: Yufei Liu, Feng Zhou, Gang Qiao, Yunjiang Zhao, Guang Yang, Xinyu Liu, Yinheng Lu
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Marine Science and Engineering
Subjects:
cyclic shift keying spread spectrum
low signal-to-noise ratio
multipath effects
neural network model
long- and short-term memory
Online Access:https://www.mdpi.com/2077-1312/9/11/1252

Internet

https://www.mdpi.com/2077-1312/9/11/1252

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