一种基于异类传感器信息融合的目标识别方法  

Target recognition method based on heterogeneous sensors information fusion

作　　者：崔博鑫[1] 许蕴山[1] 向建军[1] 吴岚[1] 张波雷[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《计算机工程与应用》2012年第24期113-116,共4页Computer Engineering and Applications

基　　金：陕西省电子信息系统综合集成重点实验室基金(No.201107Y03)

摘　　要：针对多传感器的目标识别问题,利用异类传感器数据多样性的特点,通过可信度的概念将多种数据进行融合。根据目标信息的不确定性,引入模糊物元分析法确定特性熵权,用Vague集表达目标的特征值,根据Vague度距离给出目标识别结果。实验仿真表明,异类传感器比同类传感器能更好地融合信息,提高目标识别效果。For multi-sensors target recognition issue,this paper fuses a variety of heterogeneous sensor data according to its characteristics under the concept of reliability.On the basis of uncertainty of the target information,fuzzy-matter element analysis method is introduced to calculate the entropy weight.Characteristic values of the target are expressed with Vague sets.The recognition results are given according to the distance between Vague values.The simulation shows that heterogeneous sensors are proved to be better in fusing information and improving target identification than similar sensors.

关 键 词：异类传感器 目标识别 置信度 VAGUE集 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]