A multi-model filter for mobile terminal location tracking

Mobile terminal location is an important area of research because of its application in location-sensitive browsing and resource allocation. This paper presents a method for reducing the error in mobile terminal location estimation. A model-based dynamic filter is presented which uses an accurate model of mobile terminal motion to combine information from location measurements made at different time instances to create an improved location estimate. The model of mobile terminal motion has a kinematic state space model describing the physical rules governing terminal motion and a control model that describes the human control input into the motion process. The dependency between the terminal location and the control decisions is used to derive a new dynamic filter. This filter provides better accuracy than previously known location techniques and is robust to variations in the mobile terminal motion.