An Indoor Positioning Algorithm Based on Path Tracking Assistance

In real life, people always move according to a certain paths, for example, walking from one side of corridor to the other side of it, but not passing through the wall, and so on. Therefore, all kinds of possible paths could be predefined, then the indoor positioning systems can make full use of these paths to further improve the positioning accuracy. In this paper, an indoor positioning algorithm based on path tracking assistance is presented which makes the most of path information in indoor environment to optimize the searched subspaces of positioning algorithm. Experimental results demonstrated that the proposed path tracking assistance algorithm can improve the 73% accuracy in 3 meters of traditional kNN algorithm to 92% in a typical office building testbed when the subspaces are defined rationally.