光学性能监测的卷积神经网络

2019 IEEE Avionics and Vehicle Fiber-Optics and Photonics Conference (AVFOP) Pub Date : 2019-11-01 DOI:10.1109/avfop.2019.8908212

Hyung Joon Cho, D. Lippiatt, Siddharth J. Varughese, S. Ralph

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引用次数: 4

摘要

我们演示了基于QAM信号星座图像的卷积神经网络的准确OSNR估计。仿真和实验结果表明，估计误差在0.1 dB以内。神经网络在模拟数据上的训练和在实验数据上的成功测试也得到了验证。

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Convolutional Neural Networks for Optical Performance Monitoring

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.

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来源期刊

2019 IEEE Avionics and Vehicle Fiber-Optics and Photonics Conference (AVFOP)

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