Collaborative Kalman Filtration - Bayesian Perspective

Kamil Dedecius

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Paper

Collaborative Kalman Filtration - Bayesian Perspective

Topics: Adaptive Signal Processing and Control; Sensors Fusion; System Modeling

In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, 468-474, 2014 , Vienna, Austria

Author: Kamil Dedecius

Affiliation: Institute of Information Theory and Automation and Academy of Sciences of the Czech Republic, Czech Republic

Keyword(s): Bayesian analysis, Estimation Theory, Distributed estimation, Kalman filter.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Informatics in Control, Automation and Robotics ; Sensors Fusion ; Signal Processing, Sensors, Systems Modeling and Control ; System Modeling

Abstract: The contribution studies the problem of collaborative Kalman filtering over distributed networks with or without a fusion center from the theoretically consistent Bayesian perspective. After presenting the Bayesian derivation of the basic Kalman filter, we develop 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.

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Paper citation in several formats:

Dedecius, K. (2014). Collaborative Kalman Filtration - Bayesian Perspective. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-039-0; ISSN 2184-2809, SciTePress, pages 468-474. DOI: 10.5220/0005018104680474

@conference{icinco14,
author={Kamil Dedecius.},
title={Collaborative Kalman Filtration - Bayesian Perspective},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2014},
pages={468-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005018104680474},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Collaborative Kalman Filtration - Bayesian Perspective
SN - 978-989-758-039-0
IS - 2184-2809
AU - Dedecius, K.
PY - 2014
SP - 468
EP - 474
DO - 10.5220/0005018104680474
PB - SciTePress