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Dittrich, P.: Application of Kalman Filter to oversampled data from Global Position System, In: Proceedings of the 17th Conference STUDENT EEICT 2011, Brno, CZ, VUT v Brně, 2011, p. 580-584, ISBN 978-80-214-4273-3
Publication language:english
Original title:Application of Kalman Filter to oversampled data from Global Position System
Title (cs):Aplikace Kalmanova Filtru pro nadvzorkovaná data z Globálního pozičního systému
Pages:580-584
Proceedings:Proceedings of the 17th Conference STUDENT EEICT 2011
Conference:Student EEICT 2011
Series:Volume 3
Place:Brno, CZ
Year:2011
ISBN:978-80-214-4273-3
Publisher:Brno University of Technology
Keywords
Kalman Filter, Oversampled Data, GPS, Flight Path Reconstruction, Aircraft
Annotation
There are many applications using the 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 is presented to fill the gaps between the GPS data samples. 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.
BibTeX:
@INPROCEEDINGS{
   author = {Petr Dittrich},
   title = {Application of Kalman Filter to oversampled data from Global
	Position System},
   pages = {580--584},
   booktitle = {Proceedings of the 17th Conference STUDENT EEICT 2011},
   series = {Volume 3},
   year = {2011},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   ISBN = {978-80-214-4273-3},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9560}
}

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