Enhancement of Galileo and multi-constellation accuracy by modeling pseudorange noises

Nicolas Viandier 1 Asma Rabaoui 2 Juliette Marais 1 Emmanuel Duflos 3, 4, *
* Corresponding author
3 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal, Inria Lille - Nord Europe
4 LAGIS-SI
LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
Abstract : Satellite-based positioning systems do not offer accurate solutions in urban environments because of propagation disturbances noising measurements. Furthermore, usual positioning computation, like extended Kalman filter, relies on considering the noise as a Gaussian centered distribution, which is unrealistic in constrained area. Moreover, today only the US system (GPS) is fully operational. Available satellite signals are not always sufficient to guarantee a continuity of service in all environments and more particularly in urban environment. However, new satellite navigation systems will appear in a couple of years. These new constellations will provide more satellites and signals. In this paper, at first, we highlight the improvement using GPS in complement with Galileo. Next, we propose a modeling of propagation noises function of the satellite state of reception, and we explain its use in the filtering process. And finally, we show some simulations results.
keyword : GPS Pseudorange
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https://hal.archives-ouvertes.fr/hal-00713039
Contributor : Emmanuel Duflos <>
Submitted on : Thursday, June 28, 2012 - 9:12:09 PM
Last modification on : Thursday, February 21, 2019 - 11:02:54 AM

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Nicolas Viandier, Asma Rabaoui, Juliette Marais, Emmanuel Duflos. Enhancement of Galileo and multi-constellation accuracy by modeling pseudorange noises. Intelligent Transport Systems Telecommunications, (ITST), Oct 2009, Lille, France. pp.459-464, ⟨10.1109/ITST.2009.5399311⟩. ⟨hal-00713039⟩

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