Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428001(2024)

Visible Light Positioning System Based on SRU Neural Network in Coal Mine Underground

Gui Ru, Ling Qin*, Fengying Wang, Xiaoli Hu, and Yanhong Xu
Author Affiliations
  • School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia , China
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    Figures & Tables(15)
    Model of visible light positioning system in coal mine
    Safety helmet receiver model. (a) Top view; (b) stereogram
    Network unit structure of SRU
    Neural network structure
    Error accumulation histogram. (a) Receiver A; (b) receiver B; (c) receiver C
    Error accumulation distribution
    Effect of receiver's height on SRU positioning. (a) z =0.13 m; (b) z =0.5 m; (c) z =1 m; (d) z =1.5 m
    Effect of x-axis position change on SRU positioning of LED lamp
    Effect of LED lamp's power change on SRU positioning performance
    Experimental scene. (a) Positioning system; (b) receiving device
    Experimental error distribution
    • Table 1. Neural network training parameters

      View table

      Table 1. Neural network training parameters

      HyperparameterContent
      Network structureSRU
      Number of hidden layers3
      Number of neurons per hidden layer(128, 128, 1)
      Learning rate0.003
      OptimizerAdam
      Number of iterations2000
      Loss performance indicatorMSE
    • Table 2. Simulation parameters

      View table

      Table 2. Simulation parameters

      ParameterValue
      Positioning area dimension /(m×m×m)3.6×3.6×3
      Power of the LED light /W12
      Location of LED light (xyz) /m(1.8, 1.8, 3)
      Effective receiving area of PDA /mm249
      Receiver’s field of view /(°)90
      Half power half angle of LED light ϕ1/2 /(°)45
      Optical filter gain Tsψ1
      Training set interval /m0.18
      Test set interval /m0.24
    • Table 3. Comparison of simulation results of three receivers

      View table

      Table 3. Comparison of simulation results of three receivers

      ReceiverAverage positioning error /cmMaximum positioning error /cmAverage positioning time /s
      Receiver A2.025.130.52
      Receiver B1.425.360.59
      Receiver C1.844.370.73
    • Table 4. Performance comparison of different positioning algorithms

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      Table 4. Performance comparison of different positioning algorithms

      Positioning algorithmAverage positioning error /cmMaximum positioning error /cmPositioning area dimension /(m×m×m)
      SRU1.425.363.6×3.6×3
      GA-CNN204.114.484×4×3
      Elman-WKNN217.1357.843.6×3.6×3
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    Gui Ru, Ling Qin, Fengying Wang, Xiaoli Hu, Yanhong Xu. Visible Light Positioning System Based on SRU Neural Network in Coal Mine Underground[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Sep. 4, 2023

    Accepted: Nov. 20, 2023

    Published Online: Jul. 8, 2024

    The Author Email: Ling Qin (qinling1979@imust.edu.cn)

    DOI:10.3788/LOP232033

    CSTR:32186.14.LOP232033

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