Multiplexed OAM beams classification via Fourier optical convolutional neural network

Orbital Angular momentum (OAM) beams pave a way to increase optical communication channel capacity. Here we propose a method to classify multiplexed OAM beams via Fourier optical convolutional neural network (CNN). Results show our system achieves 86.98% classification accuracy under strong atmospheric turbulence condition.