Researching | Laguerre-Gaussian beam recognition based on optical diffractive neural network

Optical Instruments, Volume. 46, Issue 2, 77(2024)

Laguerre-Gaussian beam recognition based on optical diffractive neural network

Yu HE1...2, Long CHEN1,2, Xiaonan HU1,2, and Haitao LUAN12,* |Show fewer author(s)

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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References (27)

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Figures & Tables(9)

Fig. 1. DNN identification concept diagram of LG beam

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Fig. 2. LG beam simulation diagram

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Fig. 3. Phase effects under different ATs

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Fig. 4. DNN identification diagram of different LG modes

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Fig. 5. LG pattern recognition under different ATs

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Fig. 6. Training recognition accuracy curve under different ATs

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Fig. 7. DNN model with the grating

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Table 1. Recognition accuracy of different layers
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Table 1. Recognition accuracy of different layers
层数 1层 2层 3层 4层
准确率/% 88.9 94.4 97.2 97.2

Table 2. Impact of offset on DNNs
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Table 2. Impact of offset on DNNs
偏移量/µm 12.5 25.0 37.5 50.0 62.5
准确率/% 100 100 73.2 47.8 38.4

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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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Paper Information

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Received: Mar. 13, 2023

Accepted: --

Published Online: Apr. 30, 2024

The Author Email: LUAN Haitao (haitaoluan@usst.edu.cn)

DOI:10.3969/j.issn.1005-5630.202303130056

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology