Detail výsledku

Application of Kalman Filter to oversampled data from Global Position System

DITTRICH, P. Application of Kalman Filter to oversampled data from Global Position System. Proceedings of the 17th Conference STUDENT EEICT 2011. Volume 3. Brno: Brno University of Technology, 2011. p. 580-584. ISBN: 978-80-214-4273-3.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Dittrich Petr, Ing., Ph.D., FIT (FIT), UIFS (FIT), UITS (FIT)
Abstrakt

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.

Klíčová slova

Kalman Filter, Oversampled Data, GPS, Flight Path Reconstruction, Aircraft

Rok
2011
Strany
580–584
Sborník
Proceedings of the 17th Conference STUDENT EEICT 2011
Řada
Volume 3
Konference
Student EEICT 2011
ISBN
978-80-214-4273-3
Vydavatel
Brno University of Technology
Místo
Brno
BibTeX 
@inproceedings{BUT76310,
  author="Petr {Dittrich}",
  title="Application of Kalman Filter to oversampled data from Global Position System",
  booktitle="Proceedings of the 17th Conference STUDENT EEICT 2011",
  year="2011",
  series="Volume 3",
  pages="580--584",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4273-3"
}
Projekty
Chytrý autopilot, TAČR, Program aplikovaného výzkumu a experimentálního vývoje ALFA, TA01010678, zahájení: 2011-01-01, ukončení: 2013-12-31, ukončen
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru