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