多传感器目标检测的模糊信息融合技术研究  

Research on Fuzzy Information Fusion of Multi-sensor Detecting Systems

作　　者：钟录宏[1] 吴文[1] 李兴国[1] 娄国伟[1] 

机构地区：[1]南京理工大学毫米波与光波近感技术研究所,江苏南京210094

出　　处：《探测与控制学报》2003年第2期42-45,共4页Journal of Detection & Control

摘　　要：在多传感器目标检测系统设计中 ,往往需要对传感器虚警率和检测率进行数学描述 ,原来的经典概率值不能对这种本性不确定的量进行充分描述 ,利用模糊集合对这种不确定性进行模糊建模更符合所研究物理现象的客观事实。文中将模糊集合理论应用到分布式多传感器检测系统的一种信息融合算法中 。It is needed to describe the probability of detection and probability of false alarm mathematically in the design of a multi sensor detecting system.The classical probability can't describe uncertainty associated with these two probability,Whereas it accord more with the fact of physical phenomenon to use the fuzzy sets to establish the model of uncertainty .In this paper,the principle of fuzzy sets is introduced to the algorithm of data fusion which is usually used in the distributed multi sensor detecting system and an advanced information fusion algorithm is obtained.

关 键 词：不确定性 模糊集合 多传感器信息融合 TDC算子 

分 类 号：G201[文化科学—传播学]