Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)

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Distributed Fusion Kalman Self-turning Filter

Authors
Ming-Bo Zhang
Corresponding Author
Ming-Bo Zhang
Available Online April 2013.
DOI
10.2991/icsem.2013.85How to use a DOI?
Keywords
Information fusion self-turning filter, Distributed fusion, Model parameters, Noise variance
Abstract

This paper puts forward an optimal and distributed fusion Kalman filter based on the Riccati equation, optimal and distributed fusion The Kalman filter has fewer calculated dimensions and less calculated amount than the centralized global optimal Kalman filter. Therefore, it has greater effect in the practice. Present the distributed local self-correcting Kalman filter at the same time. The simulation examples showed its validity.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
10.2991/icsem.2013.85
ISSN
1951-6851
DOI
10.2991/icsem.2013.85How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Ming-Bo Zhang
PY  - 2013/04
DA  - 2013/04
TI  - Distributed Fusion Kalman Self-turning Filter
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 444
EP  - 448
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.85
DO  - 10.2991/icsem.2013.85
ID  - Zhang2013/04
ER  -