Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A hybrid neural network-fuzzy logic architecture for multisensor data fusion in target tracking system

Authors
Xiu Wang1, Jian Rong, Xiaochun Zhong
1School of Physical Electronic, University of Electronic Science and Technology of China
Corresponding Author
Xiu Wang
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.208How to use a DOI?
Keywords
Neural network, Fuzzy logic, Multisensor data fusion, Target tracking
Abstract

In this work, a new multisensor data fusion architecture integrating neural network and fuzzy logic techniques is introduced, which has the ability of fast adjusting acceleration parameter and covariance of measurement noise of sensors. In this architecture, the neural network estimates acceleration and fuzzy logic adapts the covariance of measurement noise on-line and also offers degree of confidence of sensors for fusion. The results of simulation prove this new architecture can adjust maneuver parameter in nearly one sample time and change the covariance of measurement noise effectively.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.208How to use a DOI?
Copyright
© 2007, 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

TY  - CONF
AU  - Xiu Wang
AU  - Jian Rong
AU  - Xiaochun Zhong
PY  - 2007/10
DA  - 2007/10
TI  - A hybrid neural network-fuzzy logic architecture for multisensor data fusion in target tracking system
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1222
EP  - 1229
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.208
DO  - https://doi.org/10.2991/iske.2007.208
ID  - Wang2007/10
ER  -