Fig. 1. Model of visible light positioning system

Fig. 2. Distance measurement error

Fig. 3. Light source layout

Fig. 4. RBF neural network structure

Fig. 5. Flow chart of improved RBF neural network algorithm

Fig. 6. Comparison of the light intensity distribution. (a) Unoptimized light intensity; (b) optimized light intensity

Fig. 7. Power distributions of received light. (a) Unoptimized received optical power; (b) optimized received optical power; (c) optimized received optical power nephogram

Fig. 8. Schematic diagram of laboratory test points and sample point distribution

Fig. 9. Comparison of positioning effect. (a) Improved RBF neural network location algorithm; (b) RBF neural network location algorithm; (c) traditional LS location algorithm

Fig. 10. Coordinates of points to be located calculated by different positioning algorithms

Fig. 11. Positioning error comparison

Fig. 12. Proportion histogram of positioning error of different algorithms

Fig. 13. Comparison of cumulative distribution of positioning errors for different algorithms