Photonic-Assisted Modulation Classification for RF Signals using Probabilistic Neural Network

A photonic-assisted modulation classification for RF signals using PNN is proposed and experimentally demonstrated. The approach achieves >97% classification accuracy at -1~15 SNR with 160 training samples for each SNR value and modulation format.