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  • Research Article
  • Open Access

Adaptive Mobile Positioning in WCDMA Networks

  • 1 and
  • 2
EURASIP Journal on Wireless Communications and Networking20052005:536157

https://doi.org/10.1155/WCN.2005.343

  • Received: 6 November 2004
  • Published:

Abstract

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.

Keywords

  • mobility tracking
  • Bayesian inference
  • jump-Markov model
  • auxiliary particle filter

Authors’ Affiliations

(1)
Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, K7L 3N6, Canada
(2)
Department of Electrical Engineering, Columbia University, New York, NY 10027-4712, USA

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