基于动态贝叶斯网络的电子对抗演练效果评估研究

动态贝叶斯网络是对具有随机过程性质的不确定性问题进行建模分析的有力工具。以作战效能为标准,建立了基于动态贝叶斯网络的电子对抗演练效果评估模型。仿真算例结果表明,动态贝叶斯网络对电子对抗演练效果评估合理。与静态贝叶斯网络相比,动态贝叶斯网络由于考虑了时间因素的影响,能更好地反映电子对抗分队演练效果的变化规律与趋势,具有较好的准确性以及容错能力。

Study of Effectiveness Assessment of Electronic Countermeasure Drill Based on Dynamic Bayesian Networks

Dynamic Bayesian networks （DBN） are a powerful tool for modeling and analyzing of the uncertainty nature random process .Operational efficiency as standards ,the effectiveness assess-ment model of electronic countermeasure drill is established based on DBN .The simulation results show that DBN is a more reasonable assessment method for the electronic countermeasure drill effec-tiveness evaluation .Compared with the static Bayesian networks （SBN） and considering the impact of the time factor ,DBN is better to reflect the electronic countermeasures drills effect of variation and trend ,with better accuracy and fault tolerance .