Detail publikace

Application of Kalman Filter to oversampled data from Global Position System

DITTRICH, P.

Originální název

Application of Kalman Filter to oversampled data from Global Position System

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální 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

Autoři

DITTRICH, P.

Rok RIV

2011

Vydáno

10. 4. 2011

Nakladatel

Brno University of Technology

Místo

Brno

ISBN

978-80-214-4273-3

Kniha

Proceedings of the 17th Conference STUDENT EEICT 2011

Edice

Volume 3

Strany od

580

Strany do

584

Strany počet

5

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"
}