基于FBNs的有人机/UCAV编队对地攻击威胁评估  

Threat assessment of manned/unmanned combat aerial vehicle formation air-to-ground attack based on FBNs

作　　者：刘跃峰[1] 陈哨东[1] 赵振宇[1] 张安[2] 

机构地区：[1]光电控制技术重点实验室,河南洛阳471009 [2]西北工业大学电子信息学院,陕西西安710072

出　　处：《系统工程与电子技术》2012年第8期1635-1639,共5页Systems Engineering and Electronics

基　　金：航空科学基金(2010ZC13012);总装重点实验室基金资助课题

摘　　要：信息化环境下的编队对地攻击过程中,所获取的地面兵力威胁信息具有高度不确定性。如何采用高效的不确定性信息推理方法快速准确地完成地面兵力对空中飞行编队的威胁评估建模成为一个亟待解决的问题。提出基于模糊贝叶斯网络的有人机/无人战斗机编队对地威胁评估建模方法,综合模糊逻辑与贝叶斯网络的优势,对战场的随机、模糊威胁信息进行综合处理。仿真结果表明,模糊贝叶斯网络不仅能够有效处理战场不确定信息,而且能够综合指挥员的主观判断,适合于不确定性战场环境下的威胁评估推理。During the process of air-to-ground attack under information environment, the threat information of ground entities is of high uncertainty. How to model the threat assessment of ground entities to aerial forma- tion with an efficient uncertainty information inference method is a key issue demanding prompt solution. A threat assessment method of manned/unmanned aerial vehicle formation air-to-ground attack based on fuzzy Bayesian networks （FBNs） is proposed. This method integrates the advantages of fuzzy logic and Bayesian net- works and can dispose the stochastic and fuzzy threat information. Simulation results indicate that FBNs can in- tegrate not only the uncertainty information but also the subjective judgment of commanders, and fits the need of threat assessment inference in the uncertain combat environment.

关 键 词：系统工程 威胁评估 模糊贝叶斯网络 有人机/无人战斗机编队 对地攻击 

分 类 号：E844[军事—战术学]