GNSS Autonomous Localization: NLOS Satellite Detection Based on 3-D Maps - Université Gustave Eiffel
Article Dans Une Revue (Article De Synthèse) IEEE Robotics and Automation Magazine Année : 2014

GNSS Autonomous Localization: NLOS Satellite Detection Based on 3-D Maps

Résumé

One of the main drawbacks of global navigation satellite systems (GNSSs) in urban environments is that signals may arrive at the receiver antenna only in nonline-of-sight (NLOS) conditions, leading to biased pseudorange estimates when they are taken for granted by the receiver and, eventually, wrong positioning. This article presents a study on the benefits of using three-dimensional (3-D) maps of cities to decide whether the GNSS signal coming from each tracked satellite is reliable. Based on this principle, two different 3-D maps and two methodologies are presented and compared. The results show the benefits of this approach.
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Dates et versions

hal-04462317 , version 1 (16-02-2024)

Identifiants

Citer

François Peyret, David Bétaille, Carolina Pinana, Rafael Toledo Moreo, Antonio Skarmeta, et al.. GNSS Autonomous Localization: NLOS Satellite Detection Based on 3-D Maps. IEEE Robotics and Automation Magazine, 2014, 21 (1), pp.57-63. ⟨10.1109/MRA.2013.2295944⟩. ⟨hal-04462317⟩
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