Open Access

Adaptive Mobile Positioning in WCDMA Networks

  • B Dong1 and
  • Xiaodong Wang2
EURASIP Journal on Wireless Communications and Networking20052005:536157

Received: 6 November 2004

Published: 1 August 2005


We propose a new technique for mobile tracking in wideband code-division multiple-access (WCDMA) systems employing multiple receive antennas. To achieve a high estimation accuracy, the algorithm utilizes the time difference of arrival (TDOA) measurements in the forward link pilot channel, the angle of arrival (AOA) measurements in the reverse-link pilot channel, as well as the received signal strength. The mobility dynamic is modelled by a first-order autoregressive (AR) vector process with an additional discrete state variable as the motion offset, which evolves according to a discrete-time Markov chain. It is assumed that the parameters in this model are unknown and must be jointly estimated by the tracking algorithm. By viewing a nonlinear dynamic system such as a jump-Markov model, we develop an efficient auxiliary particle filtering algorithm to track both the discrete and continuous state variables of this system as well as the associated system parameters. Simulation results are provided to demonstrate the excellent performance of the proposed adaptive mobile positioning algorithm in WCDMA networks.


mobility trackingBayesian inferencejump-Markov modelauxiliary particle filter

Authors’ Affiliations

Department of Electrical and Computer Engineering, Queen's University
Department of Electrical Engineering, Columbia University


© B. Dong and X. Wang 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.