Research on Indoor Edge Location Based on Location Fingerprint Recognition

摘要

In the online positioning stage of indoor positioning algorithm based on position fingerprint recognition, the positioning accuracy of edge points is not high after off-line clustering. An improved algorithm is proposed, which can effectively improve the location accuracy of the edge points in the location area. By incorporating neighborhood clustering into positioning reference, the method improves the positioning accuracy of edge positioning points, improves the overall indoor positioning effect, and improves the positioning accuracy to a certain extent. The simulation environment is built to verify the proposed algorithm. The experimental results show that the improved algorithm improves the positioning accuracy of edge locating points to a certain extent, and improves the overall positioning accuracy of edge locating points.