Bayesian Filters in Tracking and Location Techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU80941" target="_blank" >RIV/00216305:26220/09:PU80941 - 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
Bayesian Filters in Tracking and Location Techniques
Original language description
The framework for location techniques based on Personal area networks and Bayesian filters is described in this paper. Two most commonly used Bayesian filters are picked out for our simulations - Kalman and Particle filter. There are presented the basicfeatures and advantages (disadvantages) of them, too.
Czech name
Bayesiánské filtry pro lokalizazaci
Czech description
V tomto článku jsou popsány postupy pro lokalizaci v prostoru. Jsou dále popsány dva bayesiánské filtry - částicový a kalmanův a prezentovány simulace těchto dvou filtrů.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
Name of the periodical
TechSys 2009 Internationa Conference Engieering, Technologies and Systems
ISSN
1310-8271
e-ISSN
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Volume of the periodical
14(2009)
Issue of the periodical within the volume
1
Country of publishing house
BG - BULGARIA
Number of pages
5
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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