@inproceedings{db831b5c21694b55aab382e3ec7be166,
title = "A new method of using deep neural network to compensate PDL",
abstract = "We proposed a new method using DNN to compensate the damage caused by PDL. The scenario this experiment used is 16-QAM signals transmitted at 2x28 GBaud rate in a polarization-division multiplexing system. A DNN is proposed to compensate for the damage caused by PDL. The result shows that, BER of the system is reduced to 1e-3, and the damage caused by PDL can be minimized in the polarization multiplexed optical fiber communication system within 600 km.",
keywords = "DNN, PDL, compensation, fiber",
author = "Kan Li and Danshi Wang and Shengchen Li",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 17th International Conference on Optical Communications and Networks, ICOCN 2018 ; Conference date: 16-11-2018 Through 19-11-2018",
year = "2019",
doi = "10.1117/12.2522573",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Zhaohui Li",
booktitle = "17th International Conference on Optical Communications and Networks, ICOCN 2018",
}