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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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.
Field of Research
090108 Satellite, Space Vehicle and Missile Design and Testing