Detail publikačního výsledku

Application of Kalman Filter to oversampled data from Global Position System

DITTRICH, P.; CHUDÝ, P.

Originální název

Application of Kalman Filter to oversampled data from Global Position System

Anglický název

Application of Kalman Filter to oversampled data from Global Position System

Druh

Článek recenzovaný mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

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

Autoři

DITTRICH, P.; CHUDÝ, P.

Rok RIV

2012

Vydáno

09.06.2011

ISSN

1802-4564

Periodikum

ElectroScope - http://www.electroscope.zcu.cz

Svazek

2011

Číslo

2

Stát

Česká republika

Strany počet

6

BibTex

@article{BUT76382,
  author="Petr {Dittrich} and Peter {Chudý}",
  title="Application of Kalman Filter to oversampled data from Global Position System",
  journal="ElectroScope - http://www.electroscope.zcu.cz",
  year="2011",
  volume="2011",
  number="2",
  pages="6",
  issn="1802-4564"
}