Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ACPC > 2020 > M4A > M4A.310
  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper M4A.310
  • •https://doi.org/10.1364/ACPC.2020.M4A.310

A new scheme using convolutional neural network to recognize orbital angular momentum beams disturbed by atmospheric turbulence

Jin Wang and Bing Zhu

Not Accessible

Your library or personal account may give you access

Abstract

We proposes a new neural network-assisted scheme for identifying OAM beams disturbed by atmospheric turbulence from the one-dimensional signals detected by the ring photodetector, which improves the recognition efficiency while the accuracy does not decrease.

© 2020 The Author(s)

PDF Article
More Like This
Classification of beams with orbital angular momentum propagating through weak atmospheric turbulence

Svetlana Avramov-Zamurovic, Charles Nelson, and Joel Esposito
PM1D.5 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2020

Reference Beam-Assisted Broadband Adaptive Optics Compensation for Atmospheric Turbulence on Orbital Angular Momentum Beams

Haruya Kishimoto, Noriyuki Sakashita, Hiroki Kishikawa, Nobuo Goto, and Shien-Kuei Liaw
SpM2I.2 Signal Processing in Photonic Communications (SPPCom) 2020

OAM beams multiplexing and classification under atmospheric turbulence via Fourier convolutional neural network

Jiachi Ye, Haoyan Kang, Hao Wang, Salem Altaleb, Elham Heidari, Navid Asadizanjani, Volker J. Sorger, and Hamed Dalir
JTu4A.73 Frontiers in Optics (FiO) 2023

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use