Study On Optical Communications, Volume. 51, Issue 1, 230154-01(2025)
Indoor Positioning System based on SSA-ELM Neural Network for Visible Light
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Fig. 4. Distribution diagram of test points and prediction results
Table 1. The simulation parameters of the positioning system
View tableView in ArticleTable 1. The simulation parameters of the positioning system
参数 数值 LED的功率/W 10 LED的FOV/° 90 LED的半功率角φ1/2/° 60 PD接收的有效面积/cm2 1 滤波器的增益T(ψ) 1
Table 2. Average positioning error of four positioning methods at different heights
View tableView in ArticleTable 2. Average positioning error of four positioning methods at different heights
定位算法 平均定位误差/cm 平均定位时间/s h=0 m h=0.3 m h=0.6 m h=0.9 m BP 12.28 13.24 14.48 16.17 0.381 SSA-BP 2.62 2.89 3.85 7.66 0.294 ELM 1.93 2.14 2.93 5.53 0.258 SSA-ELM 1.73 1.86 2.18 3.47 0.242
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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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Received: Oct. 15, 2023
Accepted: --
Published Online: Feb. 24, 2025
The Author Email: JIA Kejun (kjjia@lut.edu.cn)
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