[TuP-B] Poster Session 1

[TuP-B-28] Deep Neural Network Decoding of Redundant-Bit-Free 2× Oversampled Waveform Utilizing Inter-Sample Correlation Underwater Optical Wireless Communication

○Xinyu Wang^1,2, Taishu Takatsuki², Ekkaphol Khansalee², Md. Khaled Hasan², Masanori Hanawa², Zhu Li¹ (1.Hangzhou Dianzi Univeristy, 2.University of Yamanashi)

Keywords:

Implementation of digital signal processing subsystems for optical communications,Artificial intelligence and machine learning for optical transmission systems and subsystems

A deep neural network-based decoding method of 2× oversampled waveform samples utilizing inter-sample correlation was investigated, achieving 2.3dB and 1.1dB gains over threshold detection and maximum likelihood estimation in underwater optical wireless communication.