An Improved Location Tracking Algorithm with Velocity Estimation in Cellular Radio Networks

The location tracking of a mobile station is required to support the location-based services and the radio resource management. The improved location tracking algorithm which uses the Kalman filter with the velocity renovation process is proposed. The velocity renovation process consists of a velocity estimator and a direction finder. By this process, the proposed algorithm can use accurately estimated velocity in the location estimation. The proposed algorithm reduces more than 66% of the location estimation error and shortens the transient time of estimation compared to the Kalman filtering method in M. Hellebrandt and R. Mathar, (1999). The performance of the proposed algorithm is verified in the aspect of the outage probability and the location error ratio.