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

Jin Wang; Bing Zhu

doi:10.1364/ACPC.2020.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

Asia Communications and Photonics Conference 2020

Beijing China
24–27 October 2020
ISBN: 978-1-943580-82-8

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J. Wang and B. Zhu, "A new scheme using convolutional neural network to recognize orbital angular momentum beams disturbed by atmospheric turbulence," in Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC), K. Xu, D. Simeonidou, C. Chang-Hasnain, N. Wada, X. Ren, Z. Zhukov, P. Perry Shum, Y. Ji, J. Zhang, X. Zhou, C. Lu, and L. Wosinska, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper M4A.310.

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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.

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