A Markov game model for space threat prediction

Dan Shen; Erik Blasch; Genshe Chen; Khanh Pham; Jose B. Cruz Jr.; Tod Manning Schuck

doi:10.1117/12.777466

17 March 2008 A Markov game model for space threat prediction

Dan Shen, Erik Blasch, Genshe Chen, Khanh Pham, Jose B. Cruz Jr., Tod Manning Schuck

Proceedings Volume 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008; 69740K (2008) https://doi.org/10.1117/12.777466
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Dan Shen, Erik Blasch, Genshe Chen, Khanh Pham, Jose B. Cruz Jr., and Tod Manning Schuck "A Markov game model for space threat prediction", Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740K (17 March 2008); https://doi.org/10.1117/12.777466

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available