Laser & Optoelectronics Progress, Volume. 61, Issue 15, 1506006(2024)

Few Photon Detection Signal Processing Based on Neural Network

Heliang Song1,2, Shaobo Li1,2, Huagui Li1,2, and Xuchao Liu1,2、*
Author Affiliations
  • 1The 54th Research Institute of CETC, Shijiazhuang 050081, Hebei, China
  • 2Hebei Key Laboratory of Photonic Information Technology and Application, Shijiazhuang 050081, Hebei, China
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    Figures & Tables(8)
    Schematic diagrams of GM-APD array detection system based on photon counting method.(a) System flow chart; (b) GM-APD array detector received photon coverage distribution diagram; (c) array unit distribution diagram
    Algorithm flow based on time-domain space-domain signal processing. (a) Uniformly distributed signal; (b) Gaussion distribution signal; (c) simulation of the original signal; (d) convolutional layer; (e) activation function; (f) max pooling; (g) fully connected layer
    Matrix dimension expansion calculation method;(a) Raw convolution kernel; (b) row expansion calculation; (c) column expansion calculation; (d) rhombus expansion calculation
    Four-frame echo signal, superimposed signal comparison chart, and log signal-to-noise ratio graph. (a) Single channel reception signal; (b) log signal-to-noise ratio graph; (c) echo signal and frame-by-frame superposition results
    Convolutional kernel processing results for different dimensional expansion methods
    Log signal-to-noise ratio plot for different dimensional expansion methods
    Plots of the results of different standard deviation processing and the change of signal-to-noise ratio
    • Table 1. Simulation parameters of the MATLAB

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      Table 1. Simulation parameters of the MATLAB

      IndexNumerical value
      c11/16
      c21/8
      c31/4
      u10
      v1100
      μ0
      σ0.1
      s1100
      s210000
      W

      RKERNEL:6

      CKERNEL:7

      DKERNEL:6

      RCKERNEL:7

      CRKERNEL:6

      CRDKERNEL:6

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    Heliang Song, Shaobo Li, Huagui Li, Xuchao Liu. Few Photon Detection Signal Processing Based on Neural Network[J]. Laser & Optoelectronics Progress, 2024, 61(15): 1506006

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 17, 2023

    Accepted: Sep. 18, 2023

    Published Online: Aug. 8, 2024

    The Author Email: Xuchao Liu (liuxuchao15@mails.ucas.ac.cn)

    DOI:10.3788/LOP231730

    CSTR:32186.14.LOP231730

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