GNSS Accuracy enhancement in urban environments based on error modeling and sequential Monte Carlo
VIANDIER ; NAHIMANA ; MARAIS ; DUFLOS
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
VIANDIER ; NAHIMANA ; MARAIS ; DUFLOS
Résumé / Abstract
Satellite-based positioning systems (GNSS) do not offer accurate solutions in urban environments because of propagation disturbances noising measurements. Furthermore, usual positioning computation relies on classical Kalman Filter (KF) or Extended KF that consider the noise as a Gaussian Centered distribution, which is unrealistic in constrained area. In this paper, we propose a modeling of propagation noises function of the satellite state of reception. In a second step the filter applied is a particle filter that takes into account the non linearity of the system and the noise bias.
Editeur
INRETS
