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Authors: Jiří Ajgl and Miroslav Šimandl

Affiliation: University of West Bohemia in Pilsen, Czech Republic

ISBN: 978-989-8425-02-7

ISSN: 2184-2809

Keyword(s): Dynamic systems, State estimation, Optimal estimation, Sensor fusion, Filtering problems.

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

Abstract: The paper deals with fusion of state estimates of stochastic dynamic systems. The goal of the contribution is to present main approaches to the estimate fusion which were developed during the last four decades. The hierarchical and decentralised estimation are presented and main special cases are discussed. Namely the following approaches, the distributed Kalman filter, maximum likelihood, channel filters, and the information measure, are introduced. The approaches are illustrated in numerical examples.

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Paper citation in several formats:
Ajgl J.; Šimandl M. and (2010). SURVEY OF ESTIMATE FUSION APPROACHES.In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8425-02-7, pages 191-196. DOI: 10.5220/0002947201910196

@conference{icinco10,
author={Ji\v{r}í Ajgl and Miroslav Šimandl},
title={SURVEY OF ESTIMATE FUSION APPROACHES},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2010},
pages={191-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002947201910196},
isbn={978-989-8425-02-7},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - SURVEY OF ESTIMATE FUSION APPROACHES
SN - 978-989-8425-02-7
AU - Ajgl, J.
AU - Šimandl, M.
PY - 2010
SP - 191
EP - 196
DO - 10.5220/0002947201910196

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