Convolutional Neural Networks for Optical Performance Monitoring

被引：2

作者：

Cho, Hyung Joon ^{[1
]}

Lippiatt, Daniel ^{[1
]}

Varughese, Siddharth ^{[1
]}

Ralph, Stephen E. ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30308 USA

来源：

2019 IEEE AVIONICS AND VEHICLE FIBER-OPTICS AND PHOTONICS CONFERENCE (AVFOP 2019) | 2019年

关键词：

D O I：

10.1109/avfop.2019.8908212

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

We demonstrate accurate OSNR estimation using convolutional neural networks based on the constellation image of a QAM signal. Simulation and experiment results demonstrate estimation error within 0.1 dB. Neural network training on simulated and successful testing on experimental data was also demonstrated.

引用

页数：2

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