KNN-based Detector for Coherent Optical Systems in Presence of Nonlinear Phase Noise

被引：0
|
作者：
Wang, Danshi [1 ]
Zhang, Min [1 ]
Fu, Meixia [1 ]
Cai, Zhongle [1 ]
Li, Ze [1 ]
Cui, Yue [1 ]
Luo, Bin [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
来源：
2016 21ST OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC) HELD JOINTLY WITH 2016 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING (PS) | 2016年
关键词：
Machine Learning; Fiber optics communications; Nonlinear Phase Noise;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A machine learning-based detector, namely KNN, is proposed to mitigate the NLPN in a 16QAM coherent optical transmission system. The maximum transmission distance and nonlinear tolerance are improved by 240 km and 2.0 dBm.
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页数：3
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