Indoor localization and movement prediction algorithms with light-fidelity
Indoor localization has recently attended an increase in interest due to the potential for a wide range of services. In this paper, indoor high-precision positioning and motion prediction algorithms are proposed by using light fidelity (LI-FI) system with angular diversity receiver (ADR). The positioning algorithm uses to estimate the location of an object in the room. Furthermore, the prediction algorithm applies to predict the motion of that object. The simulation results show that the average root mean squares error of the positioning algorithm is about 0.6 cm, and the standard deviation from 1.188 × 10-8 to 0 cm. Meanwhile, the accuracy of the motion prediction reaches 89.5%. © 2020 IEEE.