K-means+SSA-Elman network visible light indoor location awareness algorithm

Table 1. Parameters of experimental environment
View table
View in Article
Table 1. Parameters of experimental environment
名称参数
实验场地大小 0.8 m×0.8 m×0.8 m
LED的数量 4
位置采样间隔 0.05 m×0.05 m
指纹点采集数 269

Table 2. Comparison of position coordinates

View table

View in Article

Table 2. Comparison of position coordinates

真实坐标	预测坐标	真实坐标	预测坐标
(0.50,0.80)	(0.50,0.77)	(0.45,0.10)	(0.44,0.12)
(0.10,0.20)	(0.11,0.21)	(0.70,0.75)	(0.71,0.75)
(0.05,0.50)	(0.03,0.52)	(0.10,0.05)	(0.10,0.07)
(0.50,0.40)	(0.46,0.40)	(0.10,0.60)	(0.12,0.58)
(0.25,0.35)	(0.24,0.35)	(0.35,0.10)	(0.35,0.12)

Table 3. Comparison of positioning errors of three algorithms cm
View table
View in Article
Table 3. Comparison of positioning errors of three algorithms cm
定位算法最小误差最大误差平均定位误差
K-means+SSA-Elman 0.42 7.40 3.22
SSA-Elman 0.51 7.51 3.48
Elman 0.80 8.45 3.87

Tools

Get Citation

Copy Citation Text

Baoyu LI, Feng ZHANG, Xia PENG, Yenan LIU. K-means+SSA-Elman network visible light indoor location awareness algorithm[J]. Journal of Applied Optics, 2022, 43(3): 453

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites