Study of the Performance of Deep Learning-Based Channel Equalization for Indoor Visible Light Communication Systems

Study of the Performance of Deep Learning-Based Channel Equalization for Indoor Visible Light Communication Systems

The inherent impairments of visible light communication (VLC) in terms of nonlinearity of light-emitting diode (LED) and the optical multipath restrict bit error rate (BER) performance. In this paper, a model-driven deep learning (DL) equalization scheme is proposed to deal with the severe channel i...

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Bibliographic Details
Main Authors: Pu Miao, Weibang Yin, Hui Peng, Yu Yao
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Photonics
Subjects:
deep learning
channel impairments
nonlinear equalization
visible light communication
deep neural network
Online Access:https://www.mdpi.com/2304-6732/8/10/453

Internet

https://www.mdpi.com/2304-6732/8/10/453

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