Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2837
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dc.contributor.authorSezginer, K.-
dc.contributor.authorGül, M.-
dc.contributor.authorBeköz, A.-
dc.contributor.authorÖzer, Y. B.-
dc.contributor.authorKasnakoğlu, Coşku-
dc.date.accessioned2019-12-25T14:03:42Z-
dc.date.available2019-12-25T14:03:42Z-
dc.date.issued2018-07
dc.identifier.citationSezginer, K., Gül, M., Beköz, A., Özer, Y. B., and Kasnakoğlu, C. (2018, May). DME/DME position and velocity estimation. In 2018 26th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.en_US
dc.identifier.isbn978-153861501-0
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2837-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8404414-
dc.description.abstractAs an alternative to Global Positioning System (GPS) position calculation can be achieved using Distance Measuring Equipments (DME). DME calculates and outputs a slant range using the total time from the aircraft interrogation to ground station reply. It is necessary to have two DMEs to calculate the position from the slant range data. In this paper, the algorithms are explained that achieve to estimate instantaneous latitude, longitude, altitude and velocity of an aircraft using the slant range data of two DMEs and the altitude data of an altimeter. The algorithms are based on the least squares method and Kalman filter. It is achieved to estimate position with the least squares method. Moreover, with the proposed model for the Kalman filter, the position and velocity estimation is achieved. The algorithms were tested on the previously recorded real aircraft data and their results were within the aviation standards. Furthermore, a plugin was implemented for X-plane flight simulator and the algorithms were capable of estimating instantaneous position and velocity successfully. © 2018 IEEE.en_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2018 26th Signal Processing and Communications Applications Conference (SIU)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArea Navigationen_US
dc.subjectRNAVen_US
dc.subjectDMEen_US
dc.subjectposition estimationen_US
dc.subjectvelocity estimationen_US
dc.subjectleast squares methoden_US
dc.subjectkalman filteren_US
dc.titleDme/Dme Position and Velocity Estimationen_US
dc.title.alternativeDme/dme Konum ve Hız Kestirimien_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage1
dc.identifier.endpage4
dc.authorid0000-0002-9928-727X-
dc.identifier.scopus2-s2.0-85050818868en_US
dc.institutionauthorKasnakoğlu, Coşku-
dc.identifier.doi10.1109/SIU.2018.8404414-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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