Laser & Optoelectronics Progress, Volume. 62, Issue 14, 1406001(2025)

Superposition Vortex Beam Recognition Using Convolutional Neural Network and Swin Transformer

Jun Li1, Zhongrui Tao1, Jin Liu2, Fuxing Xu1, Chengliang Gou1, Xiaowei Xu1, Dawei Zhang1, and Haima Yang1,3、*
Author Affiliations
  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 3Key Laboratory of Space Active Opto-Electronics Technology, Chinese Academy of Sciences, Shanghai 201800, China
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    References(23)

    [2] Wang M J, Tu S K. Performance research on underwater vortex optical multiplexing system based on back propagation neural network blind equalization algorithm[J]. Laser & Optoelectronics Progress, 60, 1701001(2023).

    [16] Yang S J, Li M R, Ke C H et al. Coherent demultiplexing of vortex beam multiplexing transmission[J]. Acta Optica Sinica, 43, 2006003(2023).

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    Jun Li, Zhongrui Tao, Jin Liu, Fuxing Xu, Chengliang Gou, Xiaowei Xu, Dawei Zhang, Haima Yang. Superposition Vortex Beam Recognition Using Convolutional Neural Network and Swin Transformer[J]. Laser & Optoelectronics Progress, 2025, 62(14): 1406001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Dec. 28, 2024

    Accepted: Feb. 19, 2025

    Published Online: Jul. 16, 2025

    The Author Email: Haima Yang (snowyhm@sina.com)

    DOI:10.3788/LOP242520

    CSTR:32186.14.LOP242520

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