Self-adapting multi-fingerprints joint indoor positioning algorithm in WLAN based on database of AP ID

Abstract

According to the existing problems in the WLAN fingerprint positioning technology and wireless signal propagation characteristics under indoor environment, this paper proposes an indoor location method with better rapidity, better self-adaptation and higher positioning accuracy. WLAN fingerprint positioning method is improved from three aspects in this article: first of all, by multi-fingerprints joint positioning method, the random error of individual fingerprint positioning will be offset, and the positioning precision and accuracy will be improved; Secondly, through the quick fingerprint matching method based on area partition and AP ID database, the fingerprint data need to match will be decreased multiply, the speed of matching fingerprint will be improved. Finally, The Self-adapting AP ID Change Matching Method reduces the frequency of rebuilding the location fingerprint database and improves the environment self-adaptation of the system by deleting the new AP or shortening the length of the fingerprint. The experimental verification confirmed that the algorithm or method proposed in this paper could improve the self-adaptation of the system and improve the speed and accuracy of the WLAN fingerprint positioning system significantly.