摘要
基于因素空间理论 ,建立一种多传感器多目标识别方法 .根据多传感器探测与控制网络系统的决策特性提出了传感器模糊决策矩阵的建立方法 ,根据对概念的反馈外延计算提出多目标识别方法 .仿真结果表明该方法能使系统的识别错误率低于 10 % .
A multisensor decision fusion method was created based on theory of factor spaces. According to the decision character of multisensor detection and control networks system, the method of establishing multisensor fuzzy decision metric was put up, and the method of multitarget identification was set up on the basis of the concept of feedback extension. The detection false below 10% can be obtained through the computer simulation. A new approach for multisensor multitarget decision fusion has been provided.
出处
《北京理工大学学报》
EI
CAS
CSCD
2000年第1期85-89,共5页
Transactions of Beijing Institute of Technology
关键词
因素空间
多传感器
多目标识别
决策融合
factor spaces
multisensor
multitarget identification
decision fusion
