Application of Kalman filter to oversampled data from global position system for flight path reconstruction

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dc.contributor.authorDittrich, Petr
dc.contributor.authorChudý, Peter
dc.contributor.editorPihera, Josef
dc.contributor.editorSteiner, František
dc.date.accessioned2012-11-06T13:03:09Z
dc.date.available2012-11-06T13:03:09Z
dc.date.issued2011
dc.description.abstract-translatedMany applications exist that exploit Global Positioning System (GPS) as a source of position and velocity data. A main problem of the GPS data is its inconsistency on higher sampling frequencies. The usage of enhanced Kalman Filter usage to fill the gaps between the GPS data samples is presented. The presented Kalman filter is enhanced to contain the velocity data on the output. The output velocity data meet the condition of integration and differentiation between the values of the position and the velocity.en
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationElectroscope. 2011, č. 2, EEICT 2011.cs
dc.identifier.issn1802-4564
dc.identifier.urihttp://hdl.handle.net/11025/598
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plzni, Fakulta elektrotechnickács
dc.relation.ispartofseriesElectroscopecs
dc.rightsCopyright © 2007-2010 Electroscope. All Rights Reserved.en
dc.rights.accessopenAccessen
dc.subjectsatelitní navigační systémycs
dc.subjectGPScs
dc.subjectKalmanův filtrcs
dc.subjectrekonstrukce letové trasycs
dc.subject.translatedsatellite navigation systemsen
dc.subject.translatedKalman filteren
dc.subject.translatedflight path reconstructionen
dc.subject.translatedGPSen
dc.titleApplication of Kalman filter to oversampled data from global position system for flight path reconstructionen
dc.typečlánekcs
dc.typearticleen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Číslo 2 - EEICT 2011 (2011)
Číslo 2 - EEICT 2011 (2011)