Application of Kalman Filter to oversampled data from Global Position System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96014" target="_blank" >RIV/00216305:26230/11:PU96014 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Kalman Filter to oversampled data from Global Position System
Original language description
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 fillthe 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01010678" target="_blank" >TA01010678: Smart Autopilot</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th Conference STUDENT EEICT 2011
ISBN
978-80-214-4273-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
580-584
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Apr 28, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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