CNN-Based Phase Matching for the OAM Mode Selection in Turbulence Heterodyne Coherent Mitigation Links

CNN-Based Phase Matching for the OAM Mode Selection in Turbulence Heterodyne Coherent Mitigation Links

A novel method is proposed to select vortex beams carrying a specific orbital angular momentum (OAM) mode in turbulence heterodyne coherent mitigation (THCM) link. It is worth mentioning that intelligent phase matching (IPM) of the OAM beams based on the convolutional neural network (CNN) is the rem...

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Bibliographic Details
Main Authors: Chunyong Yang, Kaige Shan, Jun Chen, Jin Hou, Shaoping Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Photonics Journal
Subjects:
Heterodyne coherence
turbulence mitigation
phase matching
orbital angular momentum
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9204363/

Internet

https://ieeexplore.ieee.org/document/9204363/

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