Research on indoor location method based on wlan signal location fingerprints

Abstract

Since the outdoor positioning technology has matured, people pay more attention to the development of indoor positioning technology in recent years. The use of existing WLAN signal for indoor positioning is a convenient way to realize. Aiming at the location fingerprint location algorithm based on WLAN signal, an in-depth study has been carried out in this paper. The K-means clustering algorithm and fuzzy logic are used to optimize the traditional algorithms in off-line database creation and on-line location phrase, which is expected to reduce the positioning error while improving the positioning efficiency. In the field simulation experiment, the actual effect of several similar algorithms is analyzed and compared, which proves that the research of this paper is effective for the optimization of indoor location algorithm.