Presentation Information
[MH2-6]Wave-distorted Signal Correction Using a Convolutional Neural Network in a Water-air OWC System
○Anzi Xu, Yujie Di, Lian-Kuan Chen (The Chinese Univ. of Hong Kong)
Keywords:
Free-space optical transmission,Artificial intelligence and machine learning for optical transmission systems and subsystems,Digital signal processing algorithms for optical communications
A convolutional neural network-based detector is designed to mitigate wave-induced power fluctuation in the wavy WA-OWC channel. The packet loss rate was significantly reduced from 38% to 5%, at a data rate of 1 Gbit/s.