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Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS

The recently developed integrated Precise Point Positioning (PPP) GPS/INS system can be useful to many applications, such as UAV navigation systems, land vehicle/machine automation and mobile mapping systems. Since carrier phase measurements are the primary observables in PPP GPS, cycle slips, which...

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Detalles Bibliográficos
Autores principales: Du, Shuang, Gao, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522917/
https://www.ncbi.nlm.nih.gov/pubmed/23202164
http://dx.doi.org/10.3390/s121114344
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author Du, Shuang
Gao, Yang
author_facet Du, Shuang
Gao, Yang
author_sort Du, Shuang
collection PubMed
description The recently developed integrated Precise Point Positioning (PPP) GPS/INS system can be useful to many applications, such as UAV navigation systems, land vehicle/machine automation and mobile mapping systems. Since carrier phase measurements are the primary observables in PPP GPS, cycle slips, which often occur due to high dynamics, signal obstructions and low satellite elevation, must be detected and repaired in order to ensure the navigation performance. In this research, a new algorithm of cycle slip detection and identification has been developed. With the aiding from INS, the proposed method jointly uses WL and EWL phase combinations to uniquely determine cycle slips in the L1 and L2 frequencies. To verify the efficiency of the algorithm, both tactical-grade and consumer-grade IMUs are tested by using a real dataset collected from two field tests. The results indicate that the proposed algorithm can efficiently detect and identify the cycle slips and subsequently improve the navigation performance of the integrated system.
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spelling pubmed-35229172013-01-09 Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS Du, Shuang Gao, Yang Sensors (Basel) Article The recently developed integrated Precise Point Positioning (PPP) GPS/INS system can be useful to many applications, such as UAV navigation systems, land vehicle/machine automation and mobile mapping systems. Since carrier phase measurements are the primary observables in PPP GPS, cycle slips, which often occur due to high dynamics, signal obstructions and low satellite elevation, must be detected and repaired in order to ensure the navigation performance. In this research, a new algorithm of cycle slip detection and identification has been developed. With the aiding from INS, the proposed method jointly uses WL and EWL phase combinations to uniquely determine cycle slips in the L1 and L2 frequencies. To verify the efficiency of the algorithm, both tactical-grade and consumer-grade IMUs are tested by using a real dataset collected from two field tests. The results indicate that the proposed algorithm can efficiently detect and identify the cycle slips and subsequently improve the navigation performance of the integrated system. Molecular Diversity Preservation International (MDPI) 2012-10-25 /pmc/articles/PMC3522917/ /pubmed/23202164 http://dx.doi.org/10.3390/s121114344 Text en © 2012 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
Du, Shuang
Gao, Yang
Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS
title Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS
title_full Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS
title_fullStr Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS
title_full_unstemmed Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS
title_short Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS
title_sort inertial aided cycle slip detection and identification for integrated ppp gps and ins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522917/
https://www.ncbi.nlm.nih.gov/pubmed/23202164
http://dx.doi.org/10.3390/s121114344
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