Optical Performance Monitoring of PSK Data Channels Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Diagrams via Balanced Detection

摘要

We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.