Recognizing Optical Vortex Modes in Ultralow Illuminating Power With Convolutional Neural Network

Recognizing Optical Vortex Modes in Ultralow Illuminating Power With Convolutional Neural Network

Vortex beams' orbital angular momentum (OAM) has important application value in optical communication and other fields. Accurate measurement of their OAM topological charges is required for the application of vortex beams in the field of optical communication. As a type of convolutional n...

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Bibliographic Details
Main Authors: Bin Zhang, Yi-Hong Qi, Hong-Lin Ouyang, Xiao-Gang Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Photonics Journal
Subjects:
Orbital angular momentum (OAM)
topological charge
free space optical communication
convolutional neural network (CNN)
pattern recognition
Online Access:https://ieeexplore.ieee.org/document/10223294/

Internet

https://ieeexplore.ieee.org/document/10223294/

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