Collaborative Kalman Filtration: Bayesian Perspective

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00431324" target="_blank" >RIV/67985556:_____/14:00431324 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Collaborative Kalman Filtration: Bayesian Perspective
Original language description
The contribution studies the problem of collaborative Kalman ?ltering over distributed networks with or without a fusion center from the theoretically consistent Bayesian perspective. After presenting the Bayesian derivation of the basic Kalman ?lter, wedevelop a versatile method allowing exchange of observations among the network nodes and their local incorporation. A probabilistic nodes selection technique based on prior knowledge of nodes performance is proposed to reduce the communication requirements.
Czech name
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Czech description
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Project
<a href="/en/project/GP14-06678P" target="_blank" >GP14-06678P: Distributed dynamic estimation in diffusion networks</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
ISBN
978-989-758-039-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
468-474
Publisher name
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Place of publication
Lisabon, Portugalsko
Event location
Vien
Event date
Sep 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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