Mode Recognition of Orbital Angular Momentum Based on Attention Pyramid Convolutional Neural Network

Mode Recognition of Orbital Angular Momentum Based on Attention Pyramid Convolutional Neural Network

In an effort to address the problem of the insufficient accuracy of existing orbital angular momentum (OAM) detection systems for vortex optical communication, an OAM mode detection technology based on an attention pyramid convolution neural network (AP-CNN) is proposed. By introducing fine-grained...

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Bibliographic Details
Main Authors: Tan Qu, Zhiming Zhao, Yan Zhang, Jiaji Wu, Zhensen Wu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
orbital angular momentum
mode detection
fine-grained image classification
attention pyramid
atmospheric turbulence
Online Access:https://www.mdpi.com/2072-4292/14/18/4618

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https://www.mdpi.com/2072-4292/14/18/4618

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