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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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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. |
format | Online Article Text |
id | pubmed-3522917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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