Title :
Situation assessment for beyond-visual-range air combat situation assessment based on dynamic Bayesian network
Author :
Li Fu ; Jianbo Liu ; Feihu Chang ; Guanglei Meng
Author_Institution :
Fac. of Aerosp. Eng., Shenyang Aerosp. Univ., Shenyang, China
Abstract :
Aiming at the characteristics of the process of beyond-visual-range air combat, a model for beyond-visual-range air combat of situation assessment is established. The model is based on dynamic Bayesian network and makes threat events as input. And a simulation assessment for threats and advantages that aircraft faced in the process of two fighters beyond-visual-range combat is performed. The simulation results demonstrate that the model for BVR air combat assessment is consistent with the actual situation.
Keywords :
belief networks; military aircraft; BVR air combat assessment; aircraft; beyond-visual-range air combat situation assessment; dynamic Bayesian network; fighters; threat events; Aerodynamics; Atmospheric modeling; Bayes methods; Inference algorithms; Missiles; Radar detection; Beyond-Visual-Range Air Combat and Missile Attack; Dynamic Bayesian Network; Situation Assessment;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6560993
