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  4. Applied the artificial neural network for reduce the position erroron GPS receiver due to ionospheric irregularities
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Applied the artificial neural network for reduce the position erroron GPS receiver due to ionospheric irregularities

Author(s)
Nontasud, Sarawut
Leelaruji, Nipha
Date Issued
December 1, 2008
Type
Conference Paper
DOI
10.1109/ISCIT.2008.4700273
Abstract
When the GPS signal pass through the ionosphere irregularities effect to rapid fluctuation of signal or scintillation occurred. This effect to the GPS receiver position error. This paper presents the error reduction of GPS receiver due to ionosphere irregularities by artificial neural network. The GPS position error depends on the strength of scintillation which measured in scintillation index or S4 index which due to total electron content (TEC) in the ionosphere. We used the measurement data which include the S4 index to analyze and correct the position error by artificial neural network. The result of this research we found the position error can reduce to less than 1 meter. The positions average close to correct position.© 2008 lEEE.
Citation
2008 International Symposium on Communications and Information Technologies Iscit 2008, 647-651, 2008
Subjects

Ionosphere

Neural network

Scintillation

Metrics
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