Convolutional Neural Network Assisted Optical Orbital Angular Momentum Identification of Vortex Beams

Convolutional Neural Network Assisted Optical Orbital Angular Momentum Identification of Vortex Beams

The rapid and accurate identification of large-scale orbital angular momentum (OAM) modes is crucial for expanding the application of vortex beams (VBs). In this paper, an OAM mode recognition method based on convolutional neural networks (CNNs) is proposed and investigated. We construct an 8-layer...

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Bibliographic Details
Main Authors: Wenjie Xiong, Yi Luo, Junmin Liu, Zebin Huang, Peipei Wang, Gaiqing Zhao, Ying Li, Yanxia Gao, Shuqing Chen, Dianyuan Fan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Vortex beams
orbital angular momentum
interference light field
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9214918/

Internet

https://ieeexplore.ieee.org/document/9214918/

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