About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm - Archive ouverte HAL
Article Dans Une Revue Sensors Année : 2013

About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm

Sébastien Peyraud
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David Betaille
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Stéphane Renault
Miguel Ortiz
Dominique Meizel

Résumé

Reliable GPS positioning in city environment is a key issue: actually, signals are prone to multipath, with poor satellite geometry in many streets. Using a 3D urban model to forecast satellite visibility in urban contexts in order to improve GPS localization is the main topic of the present article. A virtual image processing that detects and eliminates possible faulty measurements is the core of this method. This image is generated using the position estimated a priori by the navigation process itself, under road constraints. This position is then updated by measurements to line-of-sight satellites only. This closed-loop real-time processing has shown very first promising full-scale test results.
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Dates et versions

hal-00919341 , version 1 (16-12-2013)

Identifiants

  • HAL Id : hal-00919341 , version 1

Citer

Sébastien Peyraud, David Betaille, Stéphane Renault, Miguel Ortiz, Florian Mougel, et al.. About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm. Sensors, 2013, 13 (1), pp.829-847. ⟨hal-00919341⟩
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