Fingerprint and visible light communication based indoor positioning method

Abstract

In this article, a fingerprint and visible light communication based indoor positioning method is proposed. This method recovers the optical wireless channel features and estimates the location of mobile terminal by these features. In order to reduce the computation complexity of the fingerprint-based positioning method, the proposed method combines triangulation and the nearest neighbor fingerprint algorithm. Firstly, triangulation is used to determine the cluster of probable locations of mobile terminal. The most probable location of mobile terminal within the cluster is then estimated by the nearest neighbor fingerprint algorithm. The simulation results show that the proposed method reduces fingerprint computation and achieves high accuracy in indoor localization.