Acta Optica Sinica, Volume. 44, Issue 21, 2106005(2024)

Visible Light Positioning System Based on Photodiode Array Sensor

Gui Ru, Ling Qin*, Fengying Wang, Xiaoli Hu, and Desheng Zhao
Author Affiliations
  • School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia , China
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    Figures & Tables(20)
    Model of visible light positioning system in coal mine
    Three-dimensional view of the helmet receiver with square PD array
    Square PD arrays. (a) 2×2 array; (b) 3×3 array
    Three-dimensional view of elliptical PD array
    Circular PD arrays. (a) Elliptical PD array; (b) circular PD array
    Three-dimensional view of spherical helmet receiver
    Umbrella PD arrays. (a) Elliptical array; (b) circular umbrella array
    SRU network unit structure
    Effect of batch size
    Effect of neuronal number changes
    Structure of proposed neural network
    • Table 1. Effect of batch size on system positioning performance

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      Table 1. Effect of batch size on system positioning performance

      Batch sizeAverage positioning error /cmMaximum positioning error /cmTraining time /s
      201.062.87603
      240.993.37506
      281.064.84446
    • Table 2. Effect of the change in the number of layers on SRU network

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      Table 2. Effect of the change in the number of layers on SRU network

      Number of SRU network layersAverage positioning error /cmMaximum positioning error /cmTraining time /s
      11.323.56209
      20.923.27398
      31.113.49558
      41.643.40762
    • Table 3. Simulation parameters of the positioning system

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      Table 3. Simulation parameters of the positioning system

      ParameterValue
      Positioning dimension /(m×m×m)3.6×3.6×3
      LED light power /W12
      LED light position (x, y, z) /m(1.8, 1.8, 3)
      Effective receiving area of the PDA /mm249
      Field of view of the receiver FOV /(°)90
      Half-power angle of LED light ϕ1/2 /(°)45
      Optical filter gain Tsψ1
      Training set interval /m0.18
      Test set interval /m0.24
    • Table 4. Network training parameters

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      Table 4. Network training parameters

      HyperparameterValue
      Network structureSRU
      Hide the number of layers3
      Number of neurons in each hidden layer(128, 128, 1)
      Learning rate0.003
      OptimizerAdam
      Number of iterations2000
      Loss performance metricsMSE
    • Table 5. Comparison of the results of helmet receiver with different L

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      Table 5. Comparison of the results of helmet receiver with different L

      L /mAverage positioning error /cmMaximum positioning error /cmAverage training time /s
      0.0121.1592.900.54
      0.0213.3731.690.52
      0.038.9427.170.53
      0.044.0623.100.53
      0.056.9814.340.54
    • Table 6. Comparison of the results of square PD arrays

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      Table 6. Comparison of the results of square PD arrays

      Square PD array2×2 array3×3 array
      Average positioning error /cm4.062.35
      Maximum positioning error /cm23.108.86
      Average positioning time /s0.531.04
    • Table 7. Comparison of the results of circular PD arrays

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      Table 7. Comparison of the results of circular PD arrays

      Circular PD arrayPerfect circular PD arrayElliptical PD array
      Average positioning error /cm1.201.01
      Maximum positioning error /cm4.033.82
      Average positioning time /s1.001.02
    • Table 8. Comparison of the results of umbrella PD arrays

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      Table 8. Comparison of the results of umbrella PD arrays

      Umbrella PD arrayCircular umbrella PD arrayElliptical PD array
      Average positioning error /cm1.130.94
      Maximum positioning error /cm3.733.84
      Average positioning time /s1.001.00
    • Table 9. Performance comparison of different positioning algorithms

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      Table 9. Performance comparison of different positioning algorithms

      Positioning algorithmAverage positioning error /cmMaximum positioning error /cm
      SRU0.943.84
      SSA-DBN214.628.96
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    Gui Ru, Ling Qin, Fengying Wang, Xiaoli Hu, Desheng Zhao. Visible Light Positioning System Based on Photodiode Array Sensor[J]. Acta Optica Sinica, 2024, 44(21): 2106005

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: May. 13, 2024

    Accepted: Jul. 3, 2024

    Published Online: Nov. 20, 2024

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

    DOI:10.3788/AOS241001

    CSTR:32393.14.AOS241001

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