基于贝叶斯网络的态势评估方法研究  

Research on Situation Assessment Method Based on Bayesian Network

作　　者：黄克英 任磊 贺治飞 Huang Keying;Ren Lei;He Zhifei(Xi’an Aviation Computing Technology Research Institute, AVIC, Xi’an Shaanxi 710068, China)

机构地区：[1]西安航空工业计算技术研究所,陕西西安710068

出　　处：《山西电子技术》2022年第2期71-73,共3页Shanxi Electronic Technology

摘　　要：针对现代战争的高度复杂、态势推理至关重要的现象,本文提出了一种基于贝叶斯网络的特殊的态势评估方法。该方法通过历史因素的引入,使得对目标意图预测更有动态积累效应。通过将本文方法与D-S证据理论的比较,验证了该方法在态势推理上拥有更好的推理效果。Aiming at the complex and diverse battlefield environment and the difficulty of uncertain reasoning,this paper proposes a situation assessment method based on Bayesian networks.Through the introduction of historical factors,this method makes the prediction of target intentions more dynamic and cumulative.Through comparison with D-S evidence theory,it is verified that this method has better reasoning effect in situational reasoning.

关 键 词：贝叶斯网络 目标识别 态势评估 D-S证据理论 

分 类 号：TN953[电子电信—信号与信息处理] TP311.52[电子电信—信息与通信工程]