Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system

The Earth’s ionosphere, which is among the major error contributor in Global Positioning System (GPS), is sensitive to level of solar activities. During this study, the concern is on the peak of upcoming Solar Cycle 24 expected in May 2013, which will induce severe disturbance to the ionosphere. Thi...

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Main Author:	Leong, Shien Kwun
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QC Physics
Online Access:	http://eprints.utm.my/id/eprint/33231/5/LeongShienKwunMFGHT2013.pdf
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id	my-utm-ep.33231
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spelling	my-utm-ep.332312017-07-23T07:26:31Z Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system 2013-02 Leong, Shien Kwun QC Physics The Earth’s ionosphere, which is among the major error contributor in Global Positioning System (GPS), is sensitive to level of solar activities. During this study, the concern is on the peak of upcoming Solar Cycle 24 expected in May 2013, which will induce severe disturbance to the ionosphere. This phenomenon raises the question of how will this affect the equatorial ionosphere and real-time GPS positioning. This research helps to understand the geomorphology and climatology of equatorial ionosphere in the Malaysian sector. A combination of local and global GPS network with abundant data has been employed to map the Total Electron Content (TEC) of equatorial ionosphere over Malaysia. The results show that dynamic morphological characteristics of ionosphere induce spatially- and temporally-correlated errors to GPS positioning. A significant amount of these effects can be mitigated with Network-based Real-Time Kinematic (NRTK) technique by generating network correction. This network correction can be tuned to output dispersive correction in order to better model the ionospheric residuals. Dispersive correction approach has been implemented in ISKANDARnet NRTK system for NRTK service enhancement. Extensive tests conducted within ISKANDARnet coverage under undisturbed ionosphere condition found that dispersive correction approach outperformed conventional lump correction with: (i) mean improvement of 20% in ambiguity resolution success rate, (ii) positioning accuracy was two-fold better with all error components lay within ±10 cm, and (iii) 21% improvement in mean ambiguity resolution validation ratio was achieved. However, imperfect ionospheric modelling due to rapid ionospheric irregularities leads to the need of establishing a near real-time ionospheric outburst monitoring system. Thus, the ISKANDARnet Ionospheric Outburst MOnitoring and Alert System (IOMOS) is developed to effectively quantify ionospheric disturbances, translate into indices and disseminate nowcast alert to users in near real-time. The IOMOS mainly serves as NRTK integrity monitoring system to ensure reliable NRTK solutions are delivered to users. It also functions as a near real-time space weather monitoring system to probe ionospheric perturbations. Overall, this research will ultimately benefit the GPS positioning and space weather communities. 2013-02 Thesis http://eprints.utm.my/id/eprint/33231/ http://eprints.utm.my/id/eprint/33231/5/LeongShienKwunMFGHT2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QC Physics
spellingShingle	QC Physics Leong, Shien Kwun Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
description	The Earth’s ionosphere, which is among the major error contributor in Global Positioning System (GPS), is sensitive to level of solar activities. During this study, the concern is on the peak of upcoming Solar Cycle 24 expected in May 2013, which will induce severe disturbance to the ionosphere. This phenomenon raises the question of how will this affect the equatorial ionosphere and real-time GPS positioning. This research helps to understand the geomorphology and climatology of equatorial ionosphere in the Malaysian sector. A combination of local and global GPS network with abundant data has been employed to map the Total Electron Content (TEC) of equatorial ionosphere over Malaysia. The results show that dynamic morphological characteristics of ionosphere induce spatially- and temporally-correlated errors to GPS positioning. A significant amount of these effects can be mitigated with Network-based Real-Time Kinematic (NRTK) technique by generating network correction. This network correction can be tuned to output dispersive correction in order to better model the ionospheric residuals. Dispersive correction approach has been implemented in ISKANDARnet NRTK system for NRTK service enhancement. Extensive tests conducted within ISKANDARnet coverage under undisturbed ionosphere condition found that dispersive correction approach outperformed conventional lump correction with: (i) mean improvement of 20% in ambiguity resolution success rate, (ii) positioning accuracy was two-fold better with all error components lay within ±10 cm, and (iii) 21% improvement in mean ambiguity resolution validation ratio was achieved. However, imperfect ionospheric modelling due to rapid ionospheric irregularities leads to the need of establishing a near real-time ionospheric outburst monitoring system. Thus, the ISKANDARnet Ionospheric Outburst MOnitoring and Alert System (IOMOS) is developed to effectively quantify ionospheric disturbances, translate into indices and disseminate nowcast alert to users in near real-time. The IOMOS mainly serves as NRTK integrity monitoring system to ensure reliable NRTK solutions are delivered to users. It also functions as a near real-time space weather monitoring system to probe ionospheric perturbations. Overall, this research will ultimately benefit the GPS positioning and space weather communities.
format	Thesis
qualification_level	Master's degree
author	Leong, Shien Kwun
author_facet	Leong, Shien Kwun
author_sort	Leong, Shien Kwun
title	Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
title_short	Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
title_full	Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
title_fullStr	Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
title_full_unstemmed	Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
title_sort	network-based real-time kinematic ionospheric residual modelling and integrity monitoring system
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2013
url	http://eprints.utm.my/id/eprint/33231/5/LeongShienKwunMFGHT2013.pdf
_version_	1747816111181660160

Network-based real-time kinematic ionospheric residual modelling and integrity monitoring system

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