Presentation Information
[TuP-B-28]Deep Neural Network Decoding of Redundant-Bit-Free 2× Oversampled Waveform Utilizing Inter-Sample Correlation Underwater Optical Wireless Communication
○Xinyu Wang1,2, Taishu Takatsuki2, Ekkaphol Khansalee2, Md. Khaled Hasan2, Masanori Hanawa2, Zhu Li1 (1Hangzhou Dianzi Univeristy, 2Univ. 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.