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