Deep Learning Recognition of Orbital Angular Momentum Modes Over Atmospheric Turbulence Channels Assisted by Vortex Phase Modulation

Deep Learning Recognition of Orbital Angular Momentum Modes Over Atmospheric Turbulence Channels Assisted by Vortex Phase Modulation

Accurate recognition of orbital angular momentum (OAM) modes is a major challenge for OAM-based optical communications over atmospheric turbulence channels. The turbulence-induced distortions cause difficulties for the receiver to distinguish between adjacent OAM modes. Deep learning, such as convol...

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Bibliographic Details
Main Authors: Yu'an Xiang, Linzhou Zeng, Man Wu, Zhaoming Luo, Yougang Ke
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Orbital angular momentum (OAM)
vortex phase modulation
convolutional neural network (CNN)
atmospheric turbulence
free space optical communication
Online Access:https://ieeexplore.ieee.org/document/9888083/

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