DocumentCode :
1726727
Title :
Applied the artificial neural network for reduce the position error on GPS receiver due to ionospheric irregularities
Author :
Nontasud, Sarawut ; Leelaruji, Nipha
Author_Institution :
Fac. of Eng., Eastern Asia Univ., Pathumthani
fYear :
2008
Firstpage :
647
Lastpage :
651
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.
Keywords :
Global Positioning System; artificial intelligence; ionospheric electromagnetic wave propagation; neural nets; radio receivers; radiowave propagation; telecommunication computing; GPS receiver position error; Global Positioning System; artificial neural network; data measurement data; ionospheric irregularities; scintillation index; signal fluctuation; total electron content; Artificial neural networks; Computer errors; Earth; Electrons; Equations; Extraterrestrial measurements; Fluctuations; Global Positioning System; Ionosphere; Satellite broadcasting; ionosphere; neural network; scintillation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies, 2008. ISCIT 2008. International Symposium on
Conference_Location :
Lao
Print_ISBN :
978-1-4244-2335-4
Electronic_ISBN :
978-1-4244-2336-1
Type :
conf
DOI :
10.1109/ISCIT.2008.4700273
Filename :
4700273
Link To Document :
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