Opto-Electronic Engineering, Volume. 49, Issue 6, 210409(2022)

Deep transfer learning method to identify orbital angular momentum beams

Chonghui Zheng1...2, Tianshu Wang1,2,*, Zheqi Liu1,2, Qiaochu Yang1,2, and Xianzhu Liu12 |Show fewer author(s)
Author Affiliations
  • 1National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun, Jilin 130022, China
  • 2College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    Figures & Tables(10)
    LG beams with topological charges of +2 and +5. (a) Topological charge is +2; (b) Topological charge is +5
    The mapping relationship between LG beam and data
    Phase screen of r0=0.24 m and r0=0.09 m and normalized phase screen.(a) Phase screen of r0=0.24 m; (b) Phase screen of r0=0.09 m; (c) Normalized phase screen of r0=0.24 m; (d) Normalized phase screen of r0=0.09 m
    Transfer learning architecture based on VGG16
    System structure
    Intensity diagram of ±5 order LG beam when D/r0 is 1.5 and 4. (a) D/r0=1.5; (b) D/r0=4
    Training accuracy and validation accuracy of different recognition models. (a) Based on transfer learning; (b) Based on VGG16
    Confusion matrix of transfer learning model in different turbulent environment. (a) D/r0=1.5 ; (b) D/r0=4
    Confusion matrix of VGG16 model in different turbulent environment. (a) D/r0=1.5; (b) D/r0=4
    • Table 1. Model evaluation indicators

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      Table 1. Model evaluation indicators

      IndicatorsTransfer learning modelVGG16 model
      Highest validation accuracy/%96.5698.25
      Total parameters6426896134301520
      Total training time/s1388732022
      Average epoch training time/s694.351601.1
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    Chonghui Zheng, Tianshu Wang, Zheqi Liu, Qiaochu Yang, Xianzhu Liu. Deep transfer learning method to identify orbital angular momentum beams[J]. Opto-Electronic Engineering, 2022, 49(6): 210409

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    Paper Information

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    Received: Dec. 22, 2021

    Accepted: --

    Published Online: Jul. 7, 2022

    The Author Email: Wang Tianshu (wangts@cust.edu.cn)

    DOI:10.12086/oee.2022.210409

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