Decision-making method for Space-Based Combat based on Hierarchical Structure Varied Discrete Dynamic Bayesian Network

作者：Fan Hao^*; Gao Xiao Guang

来源：Journal of Astronautics, 2011, 32(2): 349-354.

DOI：10.3873/j.issn.1000-1328.2011.02.018

• Adaptive parameters
• Battle fields
• Bayesian
• Combat vehicles
• Decision-making method
• Discrete dynamics
• Generation algorithm
• GraphicaL model
• Hierarchical structures
• Hierarchical SVDDBN
• Inference algorithm
• Network parameters
• Simulation result
• Situation assessment
• Space combat vechicle (SCV)
• Space-based
• Tactical decisions
• Uncertain informations

A Decision-making graphical model for Space-Based Combat is presented based on Hierarchical Structure Varied Discrete Dynamic Bayesian Network (SVDDBN) to achieve fast unmanned tactical decision-making for Space Combat Vehicle(SCV) with uncertain information. A Calculational Inference Algorithm for SVDDBN is used to ratiocinate conclusion of battle field situation assessment and decision-making of Space-Based Combat, and an adaptive parameter generation algorithm is proposed to generate Bayesian network parameters when its structure varied. The simulation results show that our method is efficacious. Fuzzy processed data which given by sensor can be used by our method to make quick inferential decision, so that it enhances the capability of self decision-making of SCV effectively.

• 出版日期2011
• 单位西北工业大学