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dc.contributor.authorArikan, O.en_US
dc.contributor.authorArikan F.en_US
dc.contributor.authorErol, C. B.en_US
dc.date.accessioned2016-02-08T10:14:12Z
dc.date.available2016-02-08T10:14:12Z
dc.date.issued2007en_US
dc.identifier.issn0273-1177
dc.identifier.urihttp://hdl.handle.net/11693/23457
dc.description.abstractComputerized ionospheric tomography (CIT) is a method to estimate ionospheric electron density distribution by using the global positioning system (GPS) signals recorded by the GPS receivers. Ionospheric electron density is a function of latitude, longitude, height and time. A general approach in CIT is to represent the ionosphere as a linear combination of basis functions. In this study, the model of the ionosphere is obtained from the IRI in latitude and height only. The goal is to determine the best representing basis function from the set of Squeezed Legendre polynomials, truncated Legendre polynomials, Haar Wavelets and singular value decomposition (SVD). The reconstruction algorithms used in this study can be listed as total least squares (TLS), regularized least squares, algebraic reconstruction technique (ART) and a hybrid algorithm where the reconstruction from the TLS algorithm is used as the initial estimate for the ART. The error performance of the reconstruction algorithms are compared with respect to the electron density generated by the IRI-2001 model. In the investigated scenario, the measurements are obtained from the IRI-2001 as the line integral of the electron density profiles, imitating the total electron content estimated from GPS measurements. It has been observed that the minimum error between the reconstructed and model ionospheres depends on both the reconstruction algorithm and the basis functions where the best results have been obtained for the basis functions from the model itself through SVD.en_US
dc.language.isoEnglishen_US
dc.source.titleAdvances in Space Researchen_US
dc.relation.isversionofhttps://doi.org/10.1016/j.asr.2007.02.078en_US
dc.subjectIonosphereen_US
dc.subjectTomographyen_US
dc.subjectInternational Reference Ionosphere (IRI)en_US
dc.subjectCarrier concentrationen_US
dc.subjectIonosphereen_US
dc.titleComputerized ionospheric tomography with the IRI modelen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage859en_US
dc.citation.epage866en_US
dc.citation.volumeNumber39en_US
dc.citation.issueNumber5en_US
dc.identifier.doi10.1016/j.asr.2007.02.078en_US
dc.publisherElsevier BVen_US
dc.identifier.eissn1879-1948


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