Convolutional Neural Networks for Optical Performance Monitoring

Abstract

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.