ABSTRACT
Recently, Visible Light Communication (VLC) has gradually become a research hotspot in indoor environments, but unfortunately the results of most existing 3-D positioning strategies are not satisfactory. This paper proposes a 3-D high-precision indoor positioning strategy using the Ant Colony Optimization algorithm based on visible light communication. The Ant Colony Optimization algorithm is a powerful population-based heuristic bionic evolutionary algorithm that can be used to solve global optimization problems, and the 3-D indoor positioning strategy can be transformed into an optimal solution problem. Therefore, for 3-D indoor positioning, the optimal receiver coordinate can be obtained by the Ant Colony Optimization algorithm. Our simulation results show that the average positioning error is 0.44 cm. The extended experiment in motion scene positioning also show that 96.04% of positioning errors are below 1.006 cm. Our experiment result proves that the mentioned positioning strategy satisfies the requirement of cm-level indoor positioning. Therefore, this strategy may be considered as one of the competitive indoor positioning candidates in the future.
