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Acta Optica Sinica, Volume. 38, Issue 10, 1006007(2018)

High Precision Indoor Visible Three-Dimensional Positioning System Based on Immune Algorithm

Pengfei Wang1,2、*, Weipeng Guan3、*, Shangsheng Wen1,2、*, Yongjian Xie3, Yuxiang Wu3, and Meiqi Zhang1
Author Affiliations
  • 1 School of Materials Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China
  • 2 State Key laboratory of Luminescence Materials and Devices, South China University of Technology, Guangzhou, Guangdong 510640, China
  • 3 School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China
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    AbstractGet PDF(in Chinese)
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    Indoor visible light positioning system

    Fig. 1. Indoor visible light positioning system

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    Framework of 3-D positioning based on immune algorithm

    Fig. 2. Framework of 3-D positioning based on immune algorithm

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    Convergence process of algorithm. (a) 20 iterations; (b) 40 iterations; (c) 60 iterations; (d) 80 iterations

    Fig. 3. Convergence process of algorithm. (a) 20 iterations; (b) 40 iterations; (c) 60 iterations; (d) 80 iterations

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    Distributions of the actual location points and the location points calculated by immune algorithm at different heights. (a) 0.25 m; (b) 0.50 m; (c) 0.75 m; (d) 1.00 m; (e) 1.25 m; (f) 1.50 m; (g) 1.75 m; (h) 2.00 m

    Fig. 4. Distributions of the actual location points and the location points calculated by immune algorithm at different heights. (a) 0.25 m; (b) 0.50 m; (c) 0.75 m; (d) 1.00 m; (e) 1.25 m; (f) 1.50 m; (g) 1.75 m; (h) 2.00 m

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    Three-dimensional positioning errors at different heights. (a) 0.25 m; (b) 0.50 m; (c) 0.75 m; (d) 1.00 m; (e) 1.25 m; (f) 1.50 m; (g) 1.75 m; (h) 2.00 m

    Fig. 5. Three-dimensional positioning errors at different heights. (a) 0.25 m; (b) 0.50 m; (c) 0.75 m; (d) 1.00 m; (e) 1.25 m; (f) 1.50 m; (g) 1.75 m; (h) 2.00 m

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    Mean error at different heights

    Fig. 6. Mean error at different heights

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    Histogram of positioning errors

    Fig. 7. Histogram of positioning errors

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    CDF curve of positioning errors

    Fig. 8. CDF curve of positioning errors

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    Three-dimensional position in motion scene

    Fig. 9. Three-dimensional position in motion scene

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    Horizontal view of positioning result

    Fig. 10. Horizontal view of positioning result

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    Vertical view of positioning result

    Fig. 11. Vertical view of positioning result

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    Histogram of positioning error in motion scene

    Fig. 12. Histogram of positioning error in motion scene

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    CDF curve of positioning error in motion scene

    Fig. 13. CDF curve of positioning error in motion scene

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    • Table 1. Simulation parameters of 3-D positioning system

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      Table 1. Simulation parameters of 3-D positioning system

      ParameterValue
      Room size L×W×H /m33×3×4
      Position of each LED (x,y,z) /mLED1(0,0,4)LED2(3,0,4)LED3(3,3,4)LED4(0,3,4)
      LED power Pt /W5
      ϕc of PD /(°)90
      Effective area of PD A /cm21
      Gain of optical filterTs(ϕ)1
      Gain of optical concentrator G(ϕ)1
      Half-power angle of LED θ1/2 /(°)60
      Order of Lambert’s luminous intensity m1
      Similarity threshold ζ00.5
      Population size S100
      Chromosome length l8
      Vaccine pool number M15
      Max evolutionary generation100
      Crossover probability0.5
      Mutation probability0.2
      Convergence accuracy0.0001
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    Pengfei Wang, Weipeng Guan, Shangsheng Wen, Yongjian Xie, Yuxiang Wu, Meiqi Zhang. High Precision Indoor Visible Three-Dimensional Positioning System Based on Immune Algorithm[J]. Acta Optica Sinica, 2018, 38(10): 1006007

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Mar. 26, 2018

    Accepted: May. 25, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1006007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology