Result Details

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.
Type
conference paper
Language
English
Authors
Dittrich Petr, Ing., Ph.D., FIT (FIT), DIFS (FIT), DITS (FIT)
Abstract

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.

Keywords

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

Published
2011
Pages
580–584
Proceedings
Proceedings of the 17th Conference STUDENT EEICT 2011
Series
Volume 3
Conference
Student EEICT 2011
ISBN
978-80-214-4273-3
Publisher
Brno University of Technology
Place
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"
}
Projects
Smart Autopilot, TAČR, Program aplikovaného výzkumu a experimentálního vývoje ALFA, TA01010678, start: 2011-01-01, end: 2013-12-31, completed
Departments
Department of Computer Graphics and Multimedia (DCGM)
Back to top