Identification of vertical total electron content by time series analysis

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dc.authoridArslan, Niyazi -- 0000-0001-5406-6361
dc.contributor.authorErdoğan, Hediye
dc.contributor.authorArslan, Niyazi
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:29:10Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:29:10Z
dc.date.issued2009
dc.departmentMühendislik Fakültesi
dc.description.abstractTime series analysis of the vertical total electron content (VTEC) is carried out in order to model variations in these observations dependent on time and frequency for various station-satellite pairs. The data of global positioning system (GPS) from four stations are processed in order to obtain the VTEC. The experiment was conducted on two successive days, the 12th and 13th April 2006 (days of year, DOY, 102-103). The mean of the squares of correlation coefficients (R(2)) between time and short-term VTEC is 0.81, which shows high linear correlation for the linear trend component analysis of the time series. For each VTEC observation arc, one significant frequency value is found using the peak-peaking (PP) method in the frequency domain for the periodical component analysis. The stochastic component is modeled with a second-order autoregressive [AR(2)] model. VTEC is recovered by 98% combining trend, periodical and stochastic components. In order to analyze the efficiency of these models for prediction, a 5 min ahead prediction is carried out resulting in a 0.19 mean root mean squared error (RMSE). Also. good results were obtained for 10, 15 and 20 min ahead predictions in some VTEC observation arcs. (c) 2008 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.dsp.2008.07.002
dc.identifier.endpage749en_US
dc.identifier.issn1051-2004
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage740en_US
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2008.07.002
dc.identifier.urihttps://hdl.handle.net/20.500.12451/6136
dc.identifier.volume19en_US
dc.identifier.wosWOS:000265997700021
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofDigital Signal Processing: A Review Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectVertical total Electron Content
dc.subjectTime Series Analysis
dc.subjectPeak Peaking
dc.subjectAutocorrelation Function
dc.subjectAutoregressive Model
dc.titleIdentification of vertical total electron content by time series analysis
dc.typeArticle

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