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Sensor fusion based missile guidance
conference contribution
posted on 2003-01-01, 00:00 authored by Pubudu PathiranaPubudu Pathirana, A SavkinIn 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.
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Title of proceedings
Proceedings of the Sixth International Conference on Information FusionEvent
International Conference on Information Fusion (6th : 2003 : Cairns, Qld.)Pagination
253 - 260Publisher
Dept. of Electrical and Electronic Engineering, University of MelbourneLocation
Cairns, Queensland, AustraliaPlace of publication
Melbourne, Vic.Start date
2003-07-08End date
2003-07-11ISBN-10
0972184449Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2003, ISIFEditor/Contributor(s)
J PercivalUsage metrics
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