SURVEY OF ESTIMATE FUSION APPROACHES

Jiří Ajgl, Miroslav Šimandl

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.

References

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Paper Citation


in Harvard Style

Ajgl J. and Šimandl M. (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


in Bibtex Style

@conference{icinco10,
author={Jiří 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},
}


in EndNote Style

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