摘要
提出了一种在毫米波主被动复合探测器目标识别中利用D-S证据理论进行时空融合的方法。首先将每个传感器不同高度处的信息进行时间上的融合,然后再对两个传感器进行空间上的信息融合。为了适应现代战场的复杂环境和系统实时性的要求,文章采用灰关联分析方法来构造基本概率赋值函数。实验结果表明该方法可行,较以往的单一时间或空间融合,识别率得到了进一步的提高。
An improved information fusion method applied in millimeter wave active/passive combined detector is presented, in which the D-S evidence theory is not only applied in temporal domain but also spatial domain. Firstly, information of each sensor at different height are fused in temporal domain; secondly, information of two sensors are fused in spatial domain. In order to adapt the complex environment of modem war field and real-time request of system, basic probability assignment function are constructed by gray correlation analysis. Experimental results prove that this method is practical and the probability of recognition is higher than with single temporal or spatial fusion before.
出处
《制导与引信》
2006年第3期41-44,60,共5页
Guidance & Fuze
基金
国防重点预研项目(41305020501)资助
关键词
目标识别
多传感器
信息融合
target recognition
multisensor
information fusion
