Detail publikace

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

Jazyk

en

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.

Dokumenty

BibTex


@article{BUT76382,
  author="Petr {Dittrich} and Peter {Chudý}",
  title="Application of Kalman Filter to oversampled data from Global Position System",
  annote="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.",
  address="NEUVEDEN",
  chapter="76382",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="2",
  volume="2011",
  year="2011",
  month="june",
  pages="0--0",
  publisher="NEUVEDEN",
  type="journal article - other"
}