摘要
针对目前多传感器数据融合时,各传感器的权值难以确定的问题,结合模糊理论,提出一种基于模糊熵的多传感器加权融合算法。该算法不需要任何的环境先验信息和传感器参数信息,根据各个传感器的当前有效量测数据的模糊程度不同,通过求取实时有效量测集合的模糊熵来确定该传感器在融合时的权值。仿真实验证明:该算法具有很好的环境适应能力,可以在一定程度上提高量测精度。
Aiming at problem that in multi-sensor data fusion weight of each sensor is difficult to be determined,combined with fuzzy theory,propose a multi-sensor weighted fusion algorithm based on fuzzy entropy. Because fuzzy extent of the effective data set of every sensor is different,by calculating fuzzy entropy of realtime effective measurement set,weight of the sensor in fusion can be determined with the effective data only,instead of any priori information about environment and sensor parameters. Simulation results illustrates that the method improves measurement precision of the fusion system.
出处
《传感器与微系统》
CSCD
2016年第7期109-112,共4页
Transducer and Microsystem Technologies
关键词
模糊熵
多传感器
数据融合
权值
fuzzy entropy
multi-sensor
data fusion
weight
