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Conferences > FiO > 2023 > JTu4A > JTu4A.73

OAM beams multiplexing and classification under atmospheric turbulence via Fourier convolutional neural network

Jiachi Ye, Haoyan Kang, Hao Wang, Salem Altaleb, Elham Heidari, Navid Asadizanjani, Volker J. Sorger, and Hamed Dalir

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Abstract

We propose a method for classifying multiplexed Orbital Angular Momentum (OAM) beams using Fourier Convolutional Neural Network (FCNN), demonstrating 67.68% accuracy in medium atmospheric turbulence condition.

© 2023 The Author(s)

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