Transfer Learning–Based Artificial Neural Networks Post-Equalizers for Underwater Visible Light Communication

Transfer Learning–Based Artificial Neural Networks Post-Equalizers for Underwater Visible Light Communication

In this article, we demonstrate two transfer learning–based dual-branch multilayer perceptron post-equalizers (TL-DBMLPs) in carrierless amplitude and phase (CAP) modulation-based underwater visible light communication (UVLC) system. The transfer learning algorithm could reduce the dependence of art...

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Bibliographic Details
Main Authors: Yiheng Zhao, Shaohua Yu, Nan Chi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Communications and Networks
Subjects:
visible light communication
artificial neural networks
underwater
post-equalizer
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/frcmn.2021.658330/full

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