摘要
针对多传感器目标跟踪系统可能出现的传感器漏检现象,提出了一种基于模糊推理的消除漏检现象影响的方法。该算法根据各传感器的量测变化,及时调整参与融合的各传感器量测的数目及其加权系数,保证量测融合值的有效性。通过对两个传感器进行数据融合和目标跟踪的仿真表明,该算法是一种简单有效,有工程应用前景的数据处理算法。该方法同样适用于多于两个传感器的多传感器融合系统。
For the sensor miss detection in the multi-sensor data fusion target tracking system,a data fusion algorithm based on fuzzy reasoning is studied in this paper.It provides capability to differentiate between inferior and fine mea-surements of multi-sensor,and can adjust the fused sensor's weight adaptive according to changes in the sensor's mea-surement.The entire data fusion and target tracking system is presented which is based on two sensors system.The simu-lation results indicate that the algorithm is efficient and very potential in practical engineering systems.And it can be extended to an arbitrary number of similar or dissimilar synchronous sensors.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第16期9-10,60,共3页
Computer Engineering and Applications
基金
国家973重点基础研究发展规划项目资助(编号:2001CB309403)
关键词
数据融合
模糊推理
相似度
隶属函数
Data fusion,Fuzzy reasoning,Degree of proximity,Membership function
