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

Abstract

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.