• Optical Instruments
  • Vol. 46, Issue 2, 77 (2024)
Yu HE1,2, Long CHEN1,2, Xiaonan HU1,2, and Haitao LUAN1,2,*
Author Affiliations
  • 1Institute of Photonic Chips, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
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    DOI: 10.3969/j.issn.1005-5630.202303130056 Cite this Article
    Yu HE, Long CHEN, Xiaonan HU, Haitao LUAN. Laguerre-Gaussian beam recognition based on optical diffractive neural network[J]. Optical Instruments, 2024, 46(2): 77 Copy Citation Text show less
    DNN identification concept diagram of LG beam
    Fig. 1. DNN identification concept diagram of LG beam
    LG beam simulation diagram
    Fig. 2. LG beam simulation diagram
    Phase effects under different ATs
    Fig. 3. Phase effects under different ATs
    DNN identification diagram of different LG modes
    Fig. 4. DNN identification diagram of different LG modes
    LG pattern recognition under different ATs
    Fig. 5. LG pattern recognition under different ATs
    Training recognition accuracy curve under different ATs
    Fig. 6. Training recognition accuracy curve under different ATs
    DNN model with the grating
    Fig. 7. DNN model with the grating
    层数1层2层3层4层
    准确率/%88.994.497.297.2
    Table 1. Recognition accuracy of different layers
    偏移量/µm12.525.037.550.062.5
    准确率/%10010073.247.838.4
    Table 2. Impact of offset on DNNs
    Yu HE, Long CHEN, Xiaonan HU, Haitao LUAN. Laguerre-Gaussian beam recognition based on optical diffractive neural network[J]. Optical Instruments, 2024, 46(2): 77
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