17 March 2008 A Markov game model for space threat prediction
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Shen, Dan Shen, Erik Blasch, Erik Blasch, Genshe Chen, Genshe Chen, Khanh Pham, Khanh Pham, Jose B. Cruz, Jose B. Cruz, Tod Manning Schuck, 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); doi: 10.1117/12.777466; https://doi.org/10.1117/12.777466
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

Recent developments of ASPIICS a giant solar coronagraph for...
Proceedings of SPIE (September 25 2013)
Space collision threat mitigation
Proceedings of SPIE (June 19 2014)
Big data for space situation awareness
Proceedings of SPIE (May 04 2017)
Perceptual reasoning in adaptive fusion processing
Proceedings of SPIE (July 30 2002)
Small satellites for water cycle experiments
Proceedings of SPIE (June 30 1991)

Back to Top