Optical performance monitoring of PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection

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.