Chinese Journal of Lasers, Volume. 50, Issue 22, 2206002(2023)

Atmospheric Turbulence Compensation Based on Deep Learning to Correct Distorted Composite Bessel-Gaussian Beam

Qianqian Du, Hongyan Wei*, Chenyin Shi, Xiaolei Xue, and Peng Jia
Author Affiliations
  • College of Optoelectronic Engineering, Taiyuan University of Technology, Taiyuan 030006, Shanxi, China
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    Figures & Tables(7)
    Composite BG beam propagation in atmospheric turbulence
    PhaNet model
    Training set loss curve
    Simulated and predicted turbulence phase screens under different turbulence intensities
    Distortion beam compensation model diagram
    Compensated and uncompensated phases comparison of the composite BG beam propagating 1000 m under different turbulence intensities. (a) Source plane composite beam; (b) beam intensity contrast diagram; (c) mode purity comparison; (d) beam intensity correlation coefficient comparison
    Compensated and uncompensated phases comparison of the composite BG beam propagating different distances in atmospheric turbulence. (a) Beam intensity contrast diagram; (b) mode purity comparison; (c) beam intensity correlation coefficient comparison
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    Qianqian Du, Hongyan Wei, Chenyin Shi, Xiaolei Xue, Peng Jia. Atmospheric Turbulence Compensation Based on Deep Learning to Correct Distorted Composite Bessel-Gaussian Beam[J]. Chinese Journal of Lasers, 2023, 50(22): 2206002

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    Paper Information

    Category: Fiber optics and optical communication

    Received: Nov. 22, 2022

    Accepted: Dec. 28, 2022

    Published Online: Nov. 7, 2023

    The Author Email: Hongyan Wei (why_1221@126.com)

    DOI:10.3788/CJL221444

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