Robust mobile terminal tracking in NLOS environments using interacting multiple model algorithm

Authors:
Carsten Fritsche;Ulrich Hammes;Anja Klein;Abdelhak M. Zoubir
Affiliations:
Technische Universität Darmstadt, Institute for Telecommunications, Merckstr. 25, 64287, Germany;Technische Universität Darmstadt, Institute for Telecommunications, Merckstr. 25, 64287, Germany;Technische Universität Darmstadt, Institute for Telecommunications, Merckstr. 25, 64287, Germany;Technische Universität Darmstadt, Institute for Telecommunications, Merckstr. 25, 64287, Germany
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

An extended Kalman filter-based interacting multiple model algorithm (IMM-EKF) is proposed for mobile terminal tracking in cellular networks based on time of arrival estimates. The proposed IMM-EKF is able to cope with line-of-sight (LOS) and non-line-of-sight (NLOS) conditions modeled by a Markov chain, where the LOS and NLOS errors are described by different noise models. Road-constraints are included into the IMM-EKF to improve performance. Simulation results show that the IMM-EKF outperforms conventional methods. A comparison to the posterior Cramér-Rao lower bound is given to demonstrate the effectiveness of the IMM-EKF.