基于人工神经网络的56Gbps光PAM4信号光学性能监测

2017 Asia Communications and Photonics Conference (ACP) Pub Date : 2017-11-10 DOI:10.1364/ACPC.2017.M1H.1

Yongtao Huang, Yuanxiang Chen, Jianguo Yu

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引用次数: 2

摘要

建立了基于眼图参数训练的人工神经网络模型，用于PAM4信号的光学性能监测。仿真结果表明，所建立的神经网络模型能够同时识别56Gbps光PAM4信号的光信噪比、色散和差分群延迟。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optical Performance Monitoring of 56Gbps Optical PAM4 Signal using Artificial Neural Networks

Artificial neural network model trained with eye diagrams parameters is developed for optical performance monitoring of PAM4 signal. The simulation results shows that the developed ANN model can simultaneously identify optical signal-to-noise ratio, chromatic dispersion, and differential group delay of 56Gbps optical PAM4 signal.

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2017 Asia Communications and Photonics Conference (ACP)

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