A study on location tracking system using Kalman filter based on sensor information

In this paper, we propose a new location estimation system for the mobile terminals. For the estimation, we can use the Global Positioning System (GPS) and the wireless LAN and so on. On the other hand, the latest mobile terminals are equipped with several sensors. We can get some information of the relative movement of the mobile terminal by these sensors. It is possible to improve the accuracy of the location estimation by combining the positioning information by the GPS and so on and the relative movement information by the sensors. In this paper, we investigate the location tracking system based on them by a Kalman filter. By computer simulations, we evaluate an effect of the relative movement information on the location estimation. We show that the proposed method outperforms the conventional positioning system.