COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU83816" target="_blank" >RIV/00216305:26220/09:PU83816 - 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
COMPARISON OF KALMAN AND PARTICLE FILTERS USED IN NODE TRACKING
Original language description
This paper deals with node tracking. The Bayesian filters and mainly Kalman and Particle filters are described. They are applied for a node tracking task based on received signal strength measurement and Maximum likelihood estimator. The results of our simulations are presented in this paper, too.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GD102%2F09%2FH081" target="_blank" >GD102/09/H081: SYNERGY - Mobile Sensoric Systems and Networks</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals of DAAAM for 2009 and Proceedings
ISBN
978-3-901509-70-4
ISSN
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e-ISSN
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Number of pages
1981
Pages from-to
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Publisher name
DAAAM International
Place of publication
Vienna
Event location
Vienna
Event date
Nov 25, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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