Constrained Least Squares Estimation for Position Tracking

Author

Wang, Z. ; Ching, P.C.

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin

Volume

4

fYear

2006

fDate

14-19 May 2006

Abstract

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

Keywords

least squares approximations; mobility management (mobile radio); time-of-arrival estimation; TOA measurements; constrained least squares estimation; mobile location tracking; network-based wireless localization system; position tracking; real-time tracking; state-space framework; velocity estimation; Emergency services; Global Positioning System; Hidden Markov models; Intelligent transportation systems; Least squares approximation; Motion measurement; Particle tracking; Position measurement; Privacy; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661019

Filename

1661019