Cargando…

An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning

Integrating the precise GPS carrier phases and INS sensor technologies is a methodology that has been applied indispensably in those application fields requiring accurate and reliable position, velocity, and attitude information. However, conventional integration approaches with a single GPS referen...

Descripción completa

Detalles Bibliográficos
Autor principal: Lee, Hungkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3230939/
https://www.ncbi.nlm.nih.gov/pubmed/22163417
http://dx.doi.org/10.3390/s101009424
_version_ 1782218106377076736
author Lee, Hungkyu
author_facet Lee, Hungkyu
author_sort Lee, Hungkyu
collection PubMed
description Integrating the precise GPS carrier phases and INS sensor technologies is a methodology that has been applied indispensably in those application fields requiring accurate and reliable position, velocity, and attitude information. However, conventional integration approaches with a single GPS reference station may not fulfil the demanding performance requirements, especially in the position component, when the baseline length between the reference station and mobile user’s GPS receiver is greater than a few tens of kilometres. This is because their positioning performance is primarily dependent on the common mode of errors of GPS measurements. To address this constraint, a novel GPS/INS integration scheme using multiple GPS reference stations is proposed here that can improve its positioning accuracy by modelling the baseline-dependent errors. In this paper, the technical issues concerned with implementing the proposed scheme are described, including the GPS network correction modelling and integrated GPS/INS filtering. In addition, the results from the processing of the simulated measurements are presented to characterise the system performance. As a result, it has been established that the integration of GPS/INS with multiple reference stations would make it possible to ensure centimetre-level positioning accuracy, even if the baseline length reaches about 100 km.
format Online
Article
Text
id pubmed-3230939
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-32309392011-12-07 An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning Lee, Hungkyu Sensors (Basel) Article Integrating the precise GPS carrier phases and INS sensor technologies is a methodology that has been applied indispensably in those application fields requiring accurate and reliable position, velocity, and attitude information. However, conventional integration approaches with a single GPS reference station may not fulfil the demanding performance requirements, especially in the position component, when the baseline length between the reference station and mobile user’s GPS receiver is greater than a few tens of kilometres. This is because their positioning performance is primarily dependent on the common mode of errors of GPS measurements. To address this constraint, a novel GPS/INS integration scheme using multiple GPS reference stations is proposed here that can improve its positioning accuracy by modelling the baseline-dependent errors. In this paper, the technical issues concerned with implementing the proposed scheme are described, including the GPS network correction modelling and integrated GPS/INS filtering. In addition, the results from the processing of the simulated measurements are presented to characterise the system performance. As a result, it has been established that the integration of GPS/INS with multiple reference stations would make it possible to ensure centimetre-level positioning accuracy, even if the baseline length reaches about 100 km. Molecular Diversity Preservation International (MDPI) 2010-10-20 /pmc/articles/PMC3230939/ /pubmed/22163417 http://dx.doi.org/10.3390/s101009424 Text en © 2010 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
Lee, Hungkyu
An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning
title An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning
title_full An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning
title_fullStr An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning
title_full_unstemmed An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning
title_short An Integration of GPS with INS Sensors for Precise Long-Baseline Kinematic Positioning
title_sort integration of gps with ins sensors for precise long-baseline kinematic positioning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3230939/
https://www.ncbi.nlm.nih.gov/pubmed/22163417
http://dx.doi.org/10.3390/s101009424
work_keys_str_mv AT leehungkyu anintegrationofgpswithinssensorsforpreciselongbaselinekinematicpositioning
AT leehungkyu integrationofgpswithinssensorsforpreciselongbaselinekinematicpositioning