Constrained Least Squares Estimation for Position Tracking

This paper describes an effective method for mobile location tracking and velocity estimation in a network-based wireless localization system. We propose a constrained least squares estimation algorithm for real-time tracking of the location and dynamic motion of a mobile user using TOA measurements. The tracking problem is formulated in a state-space framework and the constraints on system states are considered explicitly. Simulation results show that the proposed tracking algorithm can improve the accuracy through eliminating spurious position estimates

[1]  David Q. Mayne,et al.  Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations , 2003, IEEE Trans. Autom. Control..

[2]  Rudolf Mathar,et al.  Location tracking of mobiles in cellular radio networks , 1999 .

[3]  Gordon L. Stüber,et al.  Subscriber location in CDMA cellular networks , 1998 .

[4]  Yi-Ming Chen,et al.  Mobile location tracking with velocity estimation , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[5]  Ding-Bing Lin,et al.  Mobile location estimation and tracking for GSM systems , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[6]  Maurizio A. Spirito,et al.  On the accuracy of cellular mobile station location estimation , 2001, IEEE Trans. Veh. Technol..

[7]  Jie Gu,et al.  W-CDMA wireless cellular location and tracking based on Markov models , 2002, IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions.

[8]  James J. Caffery,et al.  Wireless Location in CDMA Cellular Radio Systems , 1999 .

[9]  O. Kennemann.  Continuous location of moving GSM mobile stations by pattern recognition techniques , 1994, 5th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Wireless Networks - Catching the Mobile Future..