Indoor Three-Dimensional Positioning System Based on Visible Light Communication Using Improved Fish Swarm Algorithm

Abstract

In recent years, with the popularity of lighting infrastructure,indoor visible three-dimensional positioning has attracted extensive attention.However, in the visible three-dimensional positioning algorithm, the positioning error is relatively large due to the high complexity of the system. For the reason that reduce positioning error, an improved fish swarm algorithm is proposed. Adaptive step size and chaotic change are introduced in fish swarm algorithm. In order to reduce the search time in the algorithm, swallowing behavior is adopted to deal with fish, so that the remaining useless weak fish in the iteration process of the improved algorithm is far less than that of the traditional fish swarm algorithm. The positioning system can get sub-micron-level accuracy in the indoor positioning area.