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Proceedings Paper

A Markov game model for space threat prediction
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Paper Abstract

This paper proposes a Markov (stochastic) game theoretic level-3 data fusion approach for defensive counterspace. Based on the Markov game theory and the advanced knowledge infrastructures for information fusion, the approach can enhance threat detection, validation, and mitigation for future counterspace and space situational awareness (SSA) operations. A Markov game is constructed to model the possible interactions between the dynamic and intelligent threats and friendly satellites, and effects of various space weather conditions. To systematically solve the complicated Markov game, a conversion from general Markov games into several Markov Decision Processes (MDPs) as well as some static bi-matrix games is provided. The proposed Markov game model and innovative solution are demonstrated in a numerical example.

Paper Details

Date Published: 17 March 2008
PDF: 12 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740K (17 March 2008); doi: 10.1117/12.777466
Show Author Affiliations
Dan Shen, Intelligent Automation, Inc. (United States)
Erik Blasch, AFRL/RYAA (United States)
Genshe Chen, DCM Research Resources, LLC (United States)
Khanh Pham, AFRL (United States)
Jose B. Cruz Jr., The Ohio State Univ. (United States)
Tod Manning Schuck, Lockheed Martin MS2 (United States)

Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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