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

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....

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Detalles Bibliográficos
Autores principales: Peyraud, Sébastien, Bétaille, David, Renault, Stéphane, Ortiz, Miguel, Mougel, Florian, Meizel, Dominique, Peyret, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574707/
https://www.ncbi.nlm.nih.gov/pubmed/23344379
http://dx.doi.org/10.3390/s130100829
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author Peyraud, Sébastien
Bétaille, David
Renault, Stéphane
Ortiz, Miguel
Mougel, Florian
Meizel, Dominique
Peyret, François
author_facet Peyraud, Sébastien
Bétaille, David
Renault, Stéphane
Ortiz, Miguel
Mougel, Florian
Meizel, Dominique
Peyret, François
author_sort Peyraud, Sébastien
collection PubMed
description 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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spelling pubmed-35747072013-02-25 About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm Peyraud, Sébastien Bétaille, David Renault, Stéphane Ortiz, Miguel Mougel, Florian Meizel, Dominique Peyret, François Sensors (Basel) Article 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. MDPI 2013-01-11 /pmc/articles/PMC3574707/ /pubmed/23344379 http://dx.doi.org/10.3390/s130100829 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Peyraud, Sébastien
Bétaille, David
Renault, Stéphane
Ortiz, Miguel
Mougel, Florian
Meizel, Dominique
Peyret, François
About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
title About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
title_full About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
title_fullStr About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
title_full_unstemmed About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
title_short About Non-Line-Of-Sight Satellite Detection and Exclusion in a 3D Map-Aided Localization Algorithm
title_sort about non-line-of-sight satellite detection and exclusion in a 3d map-aided localization algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574707/
https://www.ncbi.nlm.nih.gov/pubmed/23344379
http://dx.doi.org/10.3390/s130100829
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