摘要
针对多源信息融合识别目标属性的问题,提出了一种将先验条件规则应用于多传感器目标识别方法。该方法根据证据理论(D-S theory)和可传递信任模型(TBM)中证据所对应的信度传递规则,将不同辨识框架之间的条件规则映射成辨识框架的改变,并通过计算pignistic概率,得到利于决策的单命题结论。在此基础上,总结了多传感器融合识别目标的基本步骤,仿真结果说明了方法的有效性。
To counter the question of multi-source information fusion to identify the attribution of target, a method of applying prior implication rule to multisensor target identification is presented. Based on D-S theory and the belief transfer rules in TBM model, this method maps the implication rule on the variety of framework of the D-S theory, and gets the single proposition conclusion by calculating pignistic probability. Based on above, the steps of target identification with multisensor are summarized, the simulation results show the validity of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第8期1169-1171,1200,共4页
Systems Engineering and Electronics
基金
国防预研基金资助课题(41306030101)
关键词
目标识别
证据理论
可传递信任模型
条件规则
信任函数
target identification
D-S theory
transferable belief model
implication rule
belief function
