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Sensor fusion based missile guidance

Pathirana, Pubudu N. and Savkin, Andrey V. 2003, Sensor fusion based missile guidance, in Proceedings of the Sixth International Conference on Information Fusion, Dept. of Electrical and Electronic Engineering, University of Melbourne, Melbourne, Vic., pp. 253-260.

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Title Sensor fusion based missile guidance
Author(s) Pathirana, Pubudu N.
Savkin, Andrey V.
Conference name International Conference on Information Fusion (6th : 2003 : Cairns, Qld.)
Conference location Cairns, Queensland, Australia
Conference dates 8-11 July 2003
Title of proceedings Proceedings of the Sixth International Conference on Information Fusion
Editor(s) Percival, John
Publication date 2003
Start page 253
End page 260
Publisher Dept. of Electrical and Electronic Engineering, University of Melbourne
Place of publication Melbourne, Vic.
Keyword(s) sensor fusion
robust extended Kalman filter
missile guidance
Summary In this paper we improve the guidance system performance via sensor fusion techniques. Vision based guidance systems can be improved in performance via radar tacking or employing video tracking by unmanned jying vehicles. We also introduce an image texture gradient based image segmentation technique to identify the target in a typical surface-to-air type application with the proposed Robust Extended Kalman Filter based state estimation technique for the implementation of the Proportional Navigation guidance controlleller.
ISBN 0972184449
Language eng
Field of Research 090108 Satellite, Space Vehicle and Missile Design and Testing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, ISIF
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005219

Document type: Conference Paper
Collection: School of Engineering and Technology
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