Paper Info
Title
Adaptive Mobile Positioning in WCDMA Networks
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 effcient 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.
Year
DOI
Venue
2005
10.1155/WCN.2005.343
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
auxiliary particle filter,bayesian inference
Autoregressive model,Markov process,Computer science,Markov chain,Angle of arrival,Real-time computing,State variable,Estimation theory,Multilateration,Auxiliary particle filter
Journal
Volume
Issue
ISSN
2005
4
1687-1499
Citations 
PageRank 
References 
2
0.42
11
Authors
2
Name
Order
Citations
PageRank
Bin Dong1171.07
Xiaodong Wang23958310.41