DocumentCode :
466476
Title :
Particle Filtering for Multipath Effects Reduction in Land Vehicule Positioning
Author :
Caron, F. ; Davy, M. ; Duflos, E. ; Vanheeghe, P.
Author_Institution :
Ecole Centrale de Lille, Villeneuve d´´ascq
Volume :
1
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
37
Lastpage :
44
Abstract :
Many applications using global navigation satellite systems (GNSS) like the well known GPS or the future Galileo face with the problem of multipaths leading to inaccurate estimation of the position. This problem is a part of a more general one when the observation model used in the estimation process does not correspond to the environment. This article tackles this problem. The authors propose a new particle filtering based algorithm to switch between several possible observation models
Keywords :
Global Positioning System; particle filtering (numerical methods); road vehicles; sensor fusion; traffic engineering computing; GPS; Galileo face; data fusion; global navigation satellite systems; land vehicle positioning; multipath effects reduction; particle filtering; Bayesian methods; Cameras; Filtering; Global Positioning System; Land vehicles; Magnetic sensors; Satellite navigation systems; Sensor phenomena and characterization; State estimation; Switches; Data Fusion; GNSS; Particle Filter; Switching State Space Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
Type :
conf
DOI :
10.1109/CESA.2006.4281620
Filename :
4281620
Link To Document :
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