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Spatial and Seasonal Ionospheric Error Growth in DGPS Measurement: A Case Study in Malaysia

Published online by Cambridge University Press:  25 May 2015

W.A. Wan Aris*
Affiliation:
(GNSS & Geodynamics Research Group, Infocomm Research Alliance, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Johor Bahru, Malaysia)
T.A. Musa
Affiliation:
(GNSS & Geodynamics Research Group, Infocomm Research Alliance, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Johor Bahru, Malaysia)
W.H. Ooi
Affiliation:
(National Space Agency of Malaysia (ANGKASA), National Space Centre, 42700 Banting, Selangor, Malaysia)
A. Hairizam
Affiliation:
(Marine Department Malaysia, Ibu Pejabat Laut, Peti Surat 12, Jalan Limbungan, 42007 Pelabuhan Klang, Selangor, Malaysia)
I.A. Musliman
Affiliation:
(GNSS & Geodynamics Research Group, Infocomm Research Alliance, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Johor Bahru, Malaysia)
R. Othman
Affiliation:
(GNSS & Geodynamics Research Group, Infocomm Research Alliance, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Johor Bahru, Malaysia)
S.I. Moslin
Affiliation:
(National Space Agency of Malaysia (ANGKASA), National Space Centre, 42700 Banting, Selangor, Malaysia)
K.A. Abdullah
Affiliation:
(GNSS & Geodynamics Research Group, Infocomm Research Alliance, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Johor Bahru, Malaysia)
*

Abstract

This paper tackles the Equatorial ionosphere and its effects on Differential Global Positioning System (DGPS) error growth over Malaysia by using a network of GPS Continuously Operating Reference Stations (CORS). Seasonal variation of ionospheric delay has been examined and findings show that the effect of spatial variation of ionospheric errors in DGPS is very significant during the equinoctial seasons. Furthermore, a DGPS regression model was developed and tested during the solar maximum year in 2013 by using internet-based DGPS. The results show that the model is capable of estimating DGPS positional errors for distances of user to reference station less than 680 km.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2015 

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References

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