Optical nonlinearity compensation using artificial neural-network-based digital signal processing

被引：1
|
作者：
Nakamura, Moriya [1 ]
机构：
[1] Meiji Univ, Sch Sci & Technol, Tama Ku, 1-1-1 Higashimita, Kawasaki, Kanagawa 2148571, Japan
来源：
METRO AND DATA CENTER OPTICAL NETWORKS AND SHORT-REACH LINKS III | 2020年 / 11308卷
关键词：
Optical nonlinearity; nonlinear compensation; equalization; artificial neural network; machine learning; EQUALIZATION; SYSTEMS; ANN;
D O I：
10.1117/12.2543325
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We introduce our studies on optical nonlinearity compensation schemes using artificial-neural-networks (ANNs) for optical communication systems. The ANN-based digital signal processing can compensate nonlinear optical waveform distortion caused by SPM, XPM, and FWM. We employed real-valued ANNs and complex-valued ANNs, and compared their performances. The performances were studied in comparison with conventional Volterra series transfer function (VSTF). Furthermore, we introduce polarization tracking capability of the ANN for polarization-multiplexed optical transmission schemes. We also discuss over-training problem with the ANN and the VSTF.
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收藏
页数：8
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