• Acta Photonica Sinica
  • Vol. 51, Issue 3, 0306005 (2022)
Yue FENG1, Lifang FENG1、*, Jianli JIN1, and Shunyi HUANG2
Author Affiliations
  • 1School of Computer & Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • 2Beijing Yang Hua Ji Ye Science and Technology Company Limited,Beijing 100038,China
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    DOI: 10.3788/gzxb20225103.0306005 Cite this Article
    Yue FENG, Lifang FENG, Jianli JIN, Shunyi HUANG. Adaptive Visible Light Location Algorithm Based on Region Division[J]. Acta Photonica Sinica, 2022, 51(3): 0306005 Copy Citation Text show less
    Visible light positioning system model and receiver structure
    Fig. 1. Visible light positioning system model and receiver structure
    Error distribution of two location algorithms
    Fig. 2. Error distribution of two location algorithms
    Symmetry of two possible solutions in multiple lights scene
    Fig. 3. Symmetry of two possible solutions in multiple lights scene
    Schematic diagram of auxiliary positioning
    Fig. 4. Schematic diagram of auxiliary positioning
    Location error distribution of two light sources
    Fig. 5. Location error distribution of two light sources
    The change of positioning error with α
    Fig. 6. The change of positioning error with α
    Schematic diagram of regional division
    Fig. 7. Schematic diagram of regional division
    Distribution of indoor fairness function
    Fig. 8. Distribution of indoor fairness function
    Influence of environmental parameters on positioning error
    Fig. 9. Influence of environmental parameters on positioning error
    Plane error distribution of adaptive localization algorithm
    Fig. 10. Plane error distribution of adaptive localization algorithm
    Comparison of cumulative error distribution
    Fig. 11. Comparison of cumulative error distribution
    Positioning system model
    Fig. 12. Positioning system model
    Experimental device
    Fig. 13. Experimental device
    Location error distribution of several algorithms in experimental environment
    Fig. 14. Location error distribution of several algorithms in experimental environment
    Experimental results of adaptive localization algorithm
    Fig. 15. Experimental results of adaptive localization algorithm
    ParameterValue
    Room size L×W×H /m35×5×3
    Position of each LED(x,y,z)/mLED1(1.25,1.25,2.5)
    LED2(1.25,3.75,2.5)
    LED3(3.75,3.75,2.5)
    LED4(3.75,1.25,2.5)
    LED power Pt /W45
    Effective area of PD A /cm21
    Gain of optical filter 1
    Gain of optical concentrator 1
    Half-power angle of LED Φ1/2 /(°)70
    Field of view angle of PD /(°)70
    Distance between PD0 to PDil/cm1.2
    Polar angle α /(°)20
    Threshold valueγ1=0.5,γ2=0.05γ3=0.15,γ4=0.1
    SNR/dB20
    Table 1. Simulation parameters of indoor positioning system
    AlgorithmD1 error /cmD2 error /cmD3 error/cmD4 error/cmD5 error/cm
    Single light source2.694.404.846.364.73
    Two light sources4.627.726.321.422.10
    Multiple light sources5.103.169.341.015.69
    Adaption2.543.114.711.092.18
    Table 2. Comparison of positioning errors in different regions
    Yue FENG, Lifang FENG, Jianli JIN, Shunyi HUANG. Adaptive Visible Light Location Algorithm Based on Region Division[J]. Acta Photonica Sinica, 2022, 51(3): 0306005
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