LSTM Attention Neural-Network-Based Signal Detection for Hybrid Modulated Faster-Than-Nyquist Optical Wireless Communications
In order to improve the accuracy of signal recovery after transmitting over atmospheric turbulence channel, a deep-learning-based signal detection method is proposed for a faster-than-Nyquist (FTN) hybrid modulated optical wireless communication (OWC) system. It takes advantage of the long short-ter...
Main Authors: | Minghua Cao, Ruifang Yao, Jieping Xia, Kejun Jia, Huiqin Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/22/8992 |
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