HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Reception State Estimation of GNSS satellites in urban environment using particle filtering

Donnay Fleury Nahimana 1 Emmanuel Duflos 2 Juliette Marais 1
2 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
Abstract : The reception state of a satellite is an unavailable information for Global Navigation Satellite System receivers. His knowledge or estimation can be used to evaluate the pseudorange. This article deals with the problem using three reception states: direct reception, alternate reception and blocked situation. This parameter, estimated using a Dirichlet distribution, is included in a particle filtering algorithm to improve the GNSS position in urban area. The algorithm takes into account two observation noise models depending on the reception of each satellite. Gaussian probability distribution is used with a direct path whereas a Gaussian mixture model is used in the alternate case.
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

Contributor : Emmanuel Duflos Connect in order to contact the contributor
Submitted on : Tuesday, March 17, 2009 - 6:17:50 PM
Last modification on : Thursday, January 20, 2022 - 4:12:37 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 11:34:35 PM


Files produced by the author(s)


  • HAL Id : inria-00368867, version 1



Donnay Fleury Nahimana, Emmanuel Duflos, Juliette Marais. Reception State Estimation of GNSS satellites in urban environment using particle filtering. FUSION 2008, Jun 2008, Cologne, Germany. ⟨inria-00368867⟩



Record views


Files downloads