Deep Learning-Based Timing Offset Estimation for Deep-Sea Vertical Underwater Acoustic Communications
This study proposes a novel receiver structure for underwater vertical acoustic communication in which the bias in the correlation-based estimation for the timing offset is learned and then estimated by a deep neural network (DNN) to an accuracy that renders subsequent use of equalizers unnecessary....
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/23/8651 |