Tomographic reconstruction of the ionospheric electron density as a function of space and time

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage1710en_US
dc.citation.issueNumber11en_US
dc.citation.spage1702en_US
dc.citation.volumeNumber43en_US
dc.contributor.authorErturk, O.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorArikan, F.en_US
dc.date.accessioned2016-02-08T10:03:59Z
dc.date.available2016-02-08T10:03:59Z
dc.date.issued2009en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractElectron density distribution is the major determining parameter of the ionosphere. Computerized Ionospheric Tomography (CIT) is a method to reconstruct ionospheric electron density image by computing Total Electron Content (TEC) values from the recorded Global Positioning Satellite System (GPS) signals. Due to the multi-scale variability of the ionosphere and inherent biases and errors in the computation of TEC, CIT constitutes an underdetermined ill-posed inverse problem. In this study, a novel Singular Value Decomposition (SVD) based CIT reconstruction technique is proposed for the imaging of electron density in both space (latitude, longitude, altitude) and time. The underlying model is obtained from International Reference Ionosphere (IRI) and the necessary measurements are obtained from earth based and satellite based GPS recordings. Based on the IRI-2007 model, a basis is formed by SVD for the required location and the time of interest. Selecting the first few basis vectors corresponding to the most significant singular values, the 3-D CIT is formulated as a weighted least squares estimation problem of the basis coefficients. By providing significant regularization to the tomographic inversion problem with limited projections, the proposed technique provides robust and reliable 3-D reconstructions of ionospheric electron density.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:03:59Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1016/j.asr.2008.08.018en_US
dc.identifier.issn0273-1177
dc.identifier.urihttp://hdl.handle.net/11693/22727
dc.language.isoEnglishen_US
dc.publisherELSEVIERen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.asr.2008.08.018en_US
dc.source.titleAdvances in Space Researchen_US
dc.subjectComputerized ionospheric tomography (CIT)en_US
dc.subjectGround positioning satellites (GPS)en_US
dc.subjectIonosphereen_US
dc.subjectIonospheric reconstructionen_US
dc.subjectOccultation dataen_US
dc.subjectSingular value decomposition (SVD)en_US
dc.subjectVoxelizationen_US
dc.titleTomographic reconstruction of the ionospheric electron density as a function of space and timeen_US
dc.typeArticleen_US

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