Publication 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.

Czech title

Aplikace Kalmanova Filtru pro nadvzorkovaná data z Globálního pozičního systému

Type

conference paper

Language

English

Authors

Dittrich Petr, Ing., Ph.D.

Keywords

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

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.

Published

2011

Pages

580–584

Proceedings

Proceedings of the 17th Conference STUDENT EEICT 2011

Series

Volume 3

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"
}