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现代机载探测系统多源信息融合算法
引用本文:景占荣,羊彦,吴雪梅,牟聪. 现代机载探测系统多源信息融合算法[J]. 火力与指挥控制, 2006, 31(7): 93-96
作者姓名:景占荣  羊彦  吴雪梅  牟聪
作者单位:西北工业大学,陕西,西安,710072
基金项目:教育部"211"工程项目
摘    要:针对机载探测系统的特性,应用Dempster-Shafer(D-S)证据理论和主观Bayes的组合算法,对来自机载SAR雷达、机载前视红外搜索跟踪系统(IRS)、电子支援系统(ESM)等探测系统多次观测所获得的数据,以及来自地面的电子情报(ELINT)的不同信息进行实时融合、识别,进而确定攻击对象.通过实例进行仿真证明,这种组合算法适用于不同类传感器和不同格式信息间的融合,适合于复杂信号环境.

关 键 词:信息融合  证据理论  主观Bayes
文章编号:1002-0640(2006)07-0093-04
修稿时间:2004-09-10

Research on the Merging Algorithm about Information of Sources from Modern Airborne Detecting System
JING Zhan-rong,YANG Yan,WU Xue-mei,MOU Cong. Research on the Merging Algorithm about Information of Sources from Modern Airborne Detecting System[J]. Fire Control & Command Control, 2006, 31(7): 93-96
Authors:JING Zhan-rong  YANG Yan  WU Xue-mei  MOU Cong
Abstract:In this paper in term of characteristics of detecting system of airplane,datum from SAR radar,IRS,ESM and others detecting systems fixed in a airplane and kinds of information from ELINT coming from ground are merged,recognized in runtime by using the combination of Dempster-Shafer(D-S) proof theory and subjective Bayes rules,and Objects to be attacked are confirmed.By real datum simulation It is proved that the combination algorithm fits for merging datum from kinds of sensors and types of information,complicated signals environment.
Keywords:information merging  proof theory  subjective Bayes rules
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