Research on visible light indoor positioning system based on improved sparrow search algorithm.

With the fast developement of science and technology, people needs higher requirements of the indoor positioning services, while the existing indoor visible light positioning system has the disadvantages of complex calculation and low accuracy. To solve this problem, this paper proposes an RSS visible light indoor positioning system based on improved sparrow search algorithm. Firstly, some punctuation points are set before the algorithm iteration to reduce the number of iterations. Secondly, the fitness function is constructed by using RSS value.Finally, in order to avoid the algorithm falling into local optimization, sine cosine algorithm and adaptive weight factor are introduced into the population position update formula. The simulation results show that the localization error of test points reaches 0.27cm in an indoor of 4m*4m*3m, and under the same conditions, the localization effect of the algorithm in this paper is better than the classical algorithms PSO, GWO and the unimproved SSA algorithm.