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