Laser & Optoelectronics Progress, Volume. 59, Issue 11, 1106005(2022)

Indoor Visible Light Fingerprint Location Method Based on BAS-LSSVM

Yong Deng* and Gan Liu
Author Affiliations
  • School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan , China
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    Figures & Tables(11)
    Visible light fingerprint location system model
    Establishment process of BAS-LSSVM fingerprint location model
    Experimental platform
    LSSVM hyperparameter optimized by iterative BAS algorithm reaches the optimal value
    Cumulative distributions of the positioning errors
    Positioning error probability histogram
    Performance comparison of three algorithms
    Positioning error probability histogram
    • Table 1. LED lamp parameters

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      Table 1. LED lamp parameters

      ParameterValue
      Voltage /V220
      Power /W3
      Luminous flux /lm250
      Initial light efficiency /(lm·W-170
      Half power half angle /(°)37.5
    • Table 2. Technical parameters of GY-39

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      Table 2. Technical parameters of GY-39

      GY-39Parameter
      Light intensity measurement range /lx0.045‒188000
      Response frequency /Hz10
      Working voltage /V3‒5
      Working current /mA5
    • Table 3. Positioning error and number of iterations of different location algorithms

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      Table 3. Positioning error and number of iterations of different location algorithms

      Location algorithmMaximum positioning error /mAverage positioning error /mNumber of iterations
      BAS-LSSVM0.1400.03123
      PSO-LSSVM0.2170.07447
      GA-LSSVM0.1930.06136
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    Yong Deng, Gan Liu. Indoor Visible Light Fingerprint Location Method Based on BAS-LSSVM[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1106005

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 19, 2021

    Accepted: Jul. 28, 2021

    Published Online: Jun. 9, 2022

    The Author Email: Deng Yong (201231010013@swpu.edu.cn)

    DOI:10.3788/LOP202259.1106005

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