Acta Optica Sinica, Volume. 44, Issue 13, 1306006(2024)

Indoor Visible Light Positioning Method Based on Spatial Optimization

Chenxi Su1, Yanyu Zhang2, Dun Li2, Lihui Shen1, Qi Wu2, and Jian Zhang2、*
Author Affiliations
  • 1School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450002, Henan , China
  • 2PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, Henan , China
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    Figures & Tables(14)
    Indoor visible light communication model diagram
    System LOS channel model
    Receiving end and surface to be measured
    Coordinates of different light sources
    Illuminance and mean of Cramer-Rao bound on surface to be measured at coordinate of different light sources
    Positioning errors of Cramer-Rao bound and Gauss-Newton iterative algorithms for different test points. (a) (-2.5 m,-2.5 m); (b) (-2.0 m,-2.0 m); (c) (-1.0 m,-1.0 m); (d) (0,0)
    Relationship between RSS and actual distance
    Average positioning errors of two algorithms at different K values
    Comparison of average positioning errors of three different algorithms under different signal-to-noise ratios
    Comparison of cumulative distribution probability of three algorithms at K=3
    • Table 1. Fingerprint database

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      Table 1. Fingerprint database

      Fingerprint pointX coordinateY coordinateRSS
      1X1Y1P11, P12, P13, P14
      2X2Y2P21, P22, P23, P24
      3X3Y3P31, P32, P33, P34
      NXNYNPN1, PN2, PN3, PN4
    • Table 2. Parameters of the indoor visible light communication system

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      Table 2. Parameters of the indoor visible light communication system

      ParameterValue
      Number of LEDs4
      Height /m2.6
      Height of receiving plane /m0.85
      Room size /(m×m×m)5×5×3
      Area of PD/cm21
      Semi-angle at half-power of LED /(°)60
      Field of view of PD /(°)70
      Emitted light power of LED /W3
    • Table 3. Average positioning errors of two algorithms under different K values

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      Table 3. Average positioning errors of two algorithms under different K values

      AlgorithmAverage positioning error /m
      1234567
      KNN0.5790.3560.3540.3750.3760.3660.382
      WKNN0.5690.2740.2260.2320.2310.2640.296
    • Table 4. Average positioning errors of three algorithms

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      Table 4. Average positioning errors of three algorithms

      AlgorithmAverage positioning error /m
      KNN0.356
      WKNN0.227
      New WKNN0.174
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    Chenxi Su, Yanyu Zhang, Dun Li, Lihui Shen, Qi Wu, Jian Zhang. Indoor Visible Light Positioning Method Based on Spatial Optimization[J]. Acta Optica Sinica, 2024, 44(13): 1306006

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jan. 29, 2024

    Accepted: Apr. 11, 2024

    Published Online: Jul. 4, 2024

    The Author Email: Zhang Jian (swordrawn@163.com)

    DOI:10.3788/AOS240587

    CSTR:32393.14.AOS240587

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