Paper Info
Title
Robust mobile terminal tracking in NLOS environments using interacting multiple model algorithm
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.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4960267
ICASSP
Keywords
Field
DocType
proposed imm-ekf,arrival estimate,conventional method,extended kalman,mobile terminal tracking,different noise model,cellular network,robust mobile terminal tracking,multiple model algorithm,interacting multiple model algorithm,nlos error,markov chain,nlos environment,context modeling,nonlinear optics,computational modeling,extended kalman filter,markov processes,noise,simulation,computational complexity,covariance matrix,kalman filters,time of arrival,intelligent transportation systems,mobile communication,non line of sight,cramer rao lower bound
Non-line-of-sight propagation,Extended Kalman filter,Markov process,Computer science,Markov chain,Algorithm,Kalman filter,Cellular network,Mobile telephony,Time of arrival
Conference
ISSN
Citations 
PageRank 
1520-6149
18
0.99
References 
Authors
6
4
Name
Order
Citations
PageRank
Carsten Fritsche115714.72
Ulrich Hammes2473.27
Anja Klein323218.18
Abdelhak M. Zoubir41036148.03