Game theoretic target assignment approach in ballistic missile defense

Mo Wei; Genshe Chen; Khanh Pham; Erik Blasch; Yingli Wu

doi:10.1117/12.777805

16 April 2008 Game theoretic target assignment approach in ballistic missile defense

Mo Wei, Genshe Chen, Khanh Pham, Erik Blasch, Yingli Wu

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69690N (2008) https://doi.org/10.1117/12.777805
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this paper, both Pareto game theory and learning theory algorithms are utilized in a resource management module for a practical missile interception system. The resource management module will determine how many and which antimissiles will be launched for interception. Such interception decisions are based on the number of invading missiles, availability of antimissiles, special capability of antimissiles, and realistic constraints on the movements of both invading missiles and antimissiles such as minimum turning radius, maximum velocity, fuel range, etc. Simulations demonstrate performance improvements when compared to existing strategies (i.e. random assignment), independent of guidance laws (i.e. Proportional Navigation (PN) or the Differential-Game-based Guidance Law (DGL) guidance laws) under end-game interception cases or midcourse interception situations.

Citation Download Citation

Mo Wei, Genshe Chen, Khanh Pham, Erik Blasch, and Yingli Wu "Game theoretic target assignment approach in ballistic missile defense", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690N (16 April 2008); https://doi.org/10.1117/12.777805

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