Share Email Print

Proceedings Paper

Game theoretic target assignment approach in ballistic missile defense
Author(s): Mo Wei; Genshe Chen; Khanh Pham; Erik Blasch; Yingli Wu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 16 April 2008
PDF: 9 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690N (16 April 2008); doi: 10.1117/12.777805
Show Author Affiliations
Mo Wei, Intelligent Automation, Inc. (United States)
Genshe Chen, DCM Research Resources, LLC (United States)
Khanh Pham, Air Force Research Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Yingli Wu, DCM Research Resources, LLC (United States)

Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top