Study on situation assessment in air combat based on Gaussian cloudy Bayesian network

Abstract

Abstract: A new idea for the situation assessment in air combat is presented in this paper. Based on the analysis of the characteristics which are considered in the air combat, a threat assessment model is built based on Gaussian cloudy Bayesian network, and the simulation calculation is conducted according to the inference algorithm of Gaussian cloudy Bayesian network. The simulation reveals that the method can offer the situation assessment value of the enemy planes and the situational level of enemy planes to ours. It offers a new thought for the situation assessment in air combat.

Key words: Gaussian cloud, Bayesian network, situation assessment, air combat

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。

关键词: 高斯云, 贝叶斯网络, 态势评估, 空战

MENG Xiaofei, DU Haiwen, FENG Puwen. Study on situation assessment in air combat based on Gaussian cloudy Bayesian network[J]. Computer Engineering and Applications, 2016, 52(15): 249-253.

蒙小飞，杜海文，封普文. 基于高斯云贝叶斯网络的空战态势评估[J]. 计算机工程与应用, 2016, 52(15): 249-253.

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Study on situation assessment in air combat based on Gaussian cloudy Bayesian network

基于高斯云贝叶斯网络的空战态势评估

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