基于混合贝叶斯网络的非协作式敌我识别系统  

Study on Hybrid Bayesian Networks in Non-cooperative IFF System

作　　者：孙永强[1] 张安[1] 

机构地区：[1]西北工业大学电子信息学院,西安710129

出　　处：《火力与指挥控制》2010年第6期179-182,共4页Fire Control & Command Control

基　　金：陕西省自然科学基金(2006F45);航空基础科学基金资助项目(20060553008)

摘　　要：混合贝叶斯网络就是允许连续节点和离散节点同时存在的贝叶斯网络。将混合贝叶斯网络应用到非协作式敌我识别系统中,建立了敌我识别的混合贝叶斯网络模型,通过混合贝叶斯网络实现多传感器敌我融合识别及识别可信度分析。仿真结果证明了混合贝叶斯网络可以很好地实现非协作式敌我识别系统的功能,并且该方法直观、准确度高,提高了敌我识别的可靠性。Discrete and Continuous Variables occur together in hybrid Bayesian networks.Hybrid Bayesian networks are used into Non-Cooperative IFF（Identification of Friend or Foe） System,hybrid Bayesian network model has been built to identify friend or foe based on the data fusion of sensors,after the identification,the reliability of the identifying information has been analysed.The simulation result shows that the hybrid Bayesian networks can achieve non-cooperative identification between friend and foe successfully,and this method is simple and direct in computation in real time,the result also approves the reliaability in Identification.

关 键 词：混合贝叶斯网络 非协作式敌我识别系统 敌我识别 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程]