Acta Optica Sinica, Volume. 41, Issue 6, 0620001(2021)

Improvement of Dynamic Range of Laser Positioning System Based on Back Propagation Neural Network

Xiaoyu Peng, Jinqing Yang, Chunhong Wu, and Weixian Qian*
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Science & Technology, Nanjing, Jiangsu 210094, China
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    Figures & Tables(9)
    Structure of four-quadrant detector and schematic of incident light
    Time distribution of pulsed light intensity
    Simulated response of circuit to waveform of signal
    Basic structure diagram of back propagation neural network
    Simulation effect of energy inversion
    Verification structure principle of circuit response model
    Verification system photo of circuit response model
    Fitting and residual statistics of inversion model
    • Table 1. Values of parameters in inversion fitting model

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      Table 1. Values of parameters in inversion fitting model

      Fitting parameterValueUnit
      a0.9985
      b5.518×10-4mW
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    Xiaoyu Peng, Jinqing Yang, Chunhong Wu, Weixian Qian. Improvement of Dynamic Range of Laser Positioning System Based on Back Propagation Neural Network[J]. Acta Optica Sinica, 2021, 41(6): 0620001

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    Paper Information

    Category: Optics in Computing

    Received: Aug. 31, 2020

    Accepted: Nov. 5, 2020

    Published Online: Apr. 7, 2021

    The Author Email: Qian Weixian (developer_plus@163.com)

    DOI:10.3788/AOS202141.0620001

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