Indoor Visible Light Positioning Method Based on TDOA and Fingerprint

Abstract

Aiming at the problem of large amount of work in the matching stage of traditional visible light fingerprint positioning methods, an indoor high-precision visible light positioning method combining TDOA and fingerprints is proposed. This method first builds a visible light fingerprint library in the positioning area, and then uses the TDOA algorithm to determine the application range of fingerprint positioning. Finally, the weighted K-nearest neighbor algorithm is used to determine the position coordinates of the point to be located within the specified range. The simulation results show that the positioning method proposed in this paper greatly reduces the number of matching in the fingerprint matching stage compared with the traditional fingerprint positioning method, and has a higher positioning accuracy.