• Study On Optical Communications
  • Vol. 51, Issue 1, 230154-01 (2025)
Kejun JIA*, Zhen NIU, Kai YU, Zhicong ZHANG..., Duo PENG and Minghua CAO|Show fewer author(s)
Author Affiliations
  • College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
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    DOI: 10.13756/j.gtxyj.2025.230154 Cite this Article
    Kejun JIA, Zhen NIU, Kai YU, Zhicong ZHANG, Duo PENG, Minghua CAO. Indoor Positioning System based on SSA-ELM Neural Network for Visible Light[J]. Study On Optical Communications, 2025, 51(1): 230154-01 Copy Citation Text show less
    Scenario analysis
    Fig. 1. Scenario analysis
    ELM neural network
    Fig. 2. ELM neural network
    Flowchart of SSA-ELM Algorithm
    Fig. 3. Flowchart of SSA-ELM Algorithm
    Distribution diagram of test points and prediction results
    Fig. 4. Distribution diagram of test points and prediction results
    The chart of error cumulative probability distribution
    Fig. 5. The chart of error cumulative probability distribution
    Positioning result
    Fig. 6. Positioning result
    Positioning error distribution
    Fig. 7. Positioning error distribution
    参数数值
    LED的功率/W10
    LED的FOV/°90
    LED的半功率角φ1/260
    PD接收的有效面积/cm21
    滤波器的增益T(ψ)1
    Table 1. The simulation parameters of the positioning system
    定位算法平均定位误差/cm平均定位时间/s
    h=0 mh=0.3 mh=0.6 mh=0.9 m
    BP12.2813.2414.4816.170.381
    SSA-BP2.622.893.857.660.294
    ELM1.932.142.935.530.258
    SSA-ELM1.731.862.183.470.242
    Table 2. Average positioning error of four positioning methods at different heights
    Kejun JIA, Zhen NIU, Kai YU, Zhicong ZHANG, Duo PENG, Minghua CAO. Indoor Positioning System based on SSA-ELM Neural Network for Visible Light[J]. Study On Optical Communications, 2025, 51(1): 230154-01
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