Machine Learning for Optical Performance Monitoring from Directly Detected PDM-QAM Signals

Supervised machine learning methods are applied and demonstrated experimentally for inband OSNR estimation and modulation format classification in optical communication systems. The proposed methods accurately evaluate coherent signals up to 64QAM using only intensity information.