3D electron density estimation in the ionosphere

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage532en_US
dc.citation.spage529en_US
dc.contributor.authorTuna, Hakanen_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorArıkan, F.en_US
dc.coverage.spatialTrabzon, Turkeyen_US
dc.date.accessioned2016-02-08T11:52:19Z
dc.date.available2016-02-08T11:52:19Z
dc.date.issued2014en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 23-25 April 2014en_US
dc.descriptionConference Name: 22nd Signal Processing and Communications Applications Conference, SIU 2014en_US
dc.description.abstractIonosphere has ion distribution which is variable in space and time. There have been physical and empirical studies for modeling the ionosphere. International Reference Ionosphere extended to Plasmasphere (IRI-Plas) is the most recent model developed for this purpose. However, IRI-Plas presents a model about the ionosphere and its compliance with the instantaneous state of the ionosphere does not provide the accuracy needed for engineering purposes. One of the important information sources about the instantaneous state of the ionosphere is GPS signals. In this study, constructing the ionosphere which is compatible with both the instantaneous ionosphere measurements and the physical structure of the ionosphere is presented as an optimization problem, and solved by using the particle swarm optimization technique. The ionosphere over Turkey is investigated by using the proposed optimization method and the importance of the instantaneous ionosphere measurements obtained from GPS signals is demonstrated.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:52:19Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014en
dc.identifier.doi10.1109/SIU.2014.6830282en_US
dc.identifier.issn2165-0608en_US
dc.identifier.urihttp://hdl.handle.net/11693/27397
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2014.6830282en_US
dc.source.titleProceedings of the 22nd Signal Processing and Communications Applications Conference, SIU 2014en_US
dc.subject3D electron density estimationen_US
dc.subjectIonosphereen_US
dc.subjectCarrier concentrationen_US
dc.subjectElectron density measurementen_US
dc.subjectIonospheric measurementen_US
dc.subjectMagnetosphereen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectSignal processingen_US
dc.subjectInternational reference ionospheresen_US
dc.subjectIRI-Plasen_US
dc.subjectOptimization methoden_US
dc.subjectOptimization problemsen_US
dc.subjectParticle swarm optimization techniqueen_US
dc.subjectPhysical structuresen_US
dc.title3D electron density estimation in the ionosphereen_US
dc.title.alternativeİyonkürede 3 boyutlu elektron yoğunluğu kestirimien_US
dc.typeConference Paperen_US

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