Publication detail
Application of Kalman Filter to oversampled data from Global Position System
DITTRICH, P. CHUDÝ, P.
Original Title
Application of Kalman Filter to oversampled data from Global Position System
English Title
Application of Kalman Filter to oversampled data from Global Position System
Type
journal article - other
Language
en
Original 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.
English 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
RIV year
2011
Released
09.06.2011
Publisher
NEUVEDEN
Location
NEUVEDEN
ISBN
1802-4564
Periodical
ElectroScope - http://www.electroscope.zcu.cz
Year of study
2011
Number
2
State
CZ
Pages count
6
Documents
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"
}