LSTM Attention Neural-Network-Based Signal Detection for Hybrid Modulated Faster-Than-Nyquist Optical Wireless Communications

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...

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Bibliographic Details
Main Authors: Minghua Cao, Ruifang Yao, Jieping Xia, Kejun Jia, Huiqin Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
faster-than-Nyquist
neural network
hybrid modulation
attention mechanism
optical wireless communication
Online Access:https://www.mdpi.com/1424-8220/22/22/8992

Internet

https://www.mdpi.com/1424-8220/22/22/8992

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