Title: Application of Kalman filter to oversampled data from global position system for flight path reconstruction
Authors: Dittrich, Petr
Chudý, Peter
Citation: Electroscope. 2011, č. 2, EEICT 2011.
Issue Date: 2011
Publisher: Západočeská univerzita v Plzni, Fakulta elektrotechnická
Document type: článek
konferenční příspěvek
article
conferenceObject
URI: http://147.228.94.30/images/PDF/Rocnik2011/Cislo2_2011/r5c2c12.pdf
http://hdl.handle.net/11025/598
ISSN: 1802-4564
Keywords: satelitní navigační systémy;GPS;Kalmanův filtr;rekonstrukce letové trasy
Keywords in different language: satellite navigation systems;Kalman filter;flight path reconstruction;GPS
Abstract in different language: Many 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.
Rights: Copyright © 2007-2010 Electroscope. All Rights Reserved.
Appears in Collections:Číslo 2 - EEICT 2011 (2011)
Číslo 2 - EEICT 2011 (2011)

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