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基于高斯云贝叶斯网络的空战态势评估 被引量:9

Study on situation assessment in air combat based on Gaussian cloudy Bayesian network
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摘要 对空战态势评估中需要考虑的因素进行了分析,建立了基于高斯云贝叶斯网络的空战态势评估模型,并利用高斯云贝叶斯网络的推理方法进行了仿真计算。仿真结果表明,该方法可以给出敌机的态势评估值以及以概率的方式给出敌机对我机的态势等级,为空战态势评估提供了新的思路。 A new idea for the situation assessment in air combat is presented in this paper. Based on the analysis of thecharacteristics which are considered in the air combat, a threat assessment model is built based on Gaussian cloudy Bayesiannetwork, and the simulation calculation is conducted according to the inference algorithm of Gaussian cloudy Bayesiannetwork. The simulation reveals that the method can offer the situation assessment value of the enemy planes and thesituational level of enemy planes to ours. It offers a new thought for the situation assessment in air combat.
作者 蒙小飞 杜海文 封普文 MENG Xiaofei;DU Haiwen;FENG Puwen(Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China)
出处 《计算机工程与应用》 CSCD 北大核心 2016年第15期249-253,共5页 Computer Engineering and Applications
基金 航空科学基金
关键词 高斯云 贝叶斯网络 态势评估 空战 Gaussian cloud Bayesian network situation assessment air combat
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