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.