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DOI:
Journal of Software:2012.23(zk1):134-140

一种基于最优融合集的多传感器数据融合算法
杨国宁,冯秀芳,樊刘娟
(太原理工大学 计算机科学与技术学院,山西 太原 030024)
Multi-Sensor Data Fusion Algorithm Based on Optimal Fusion Set
YANG Guo-Ning,FENG Xiu-Fang,FAN Liu-Juan
(Department of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China)
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Received:May 05, 2012    Revised:August 17, 2012
> 中文摘要: 针对多个传感器于不同方位对某一特性参数进行测量的数据融合问题,提出了一种基于最优融合集的多传感器数据融合算法.该算法通过定义最优融合集获取有效观测数据,并在此基础上利用最优融合集的融合度矩阵度量传感器的一致融合度与分布均衡度,进而对有效观测数据分配权重系数,最后得出融合估计算式.应用实例和仿真实验验证了算法的有效性,数据融合结果表明该算法具有较高的精确性及稳健性.
Abstract:By focusing on the multi-sensors’ measurement on the same characteristic index from different directions, a multi-sensor data fusion algorithm based on optimal fusion set is proposed. The optimal fusion set is defined to obtain the valid observation data, in which the consistent fusion degree and the distribution degree of sensors are measured by using an optimal fusion degree matrix set. Next, the weights of the valid observation data in the fusion process are reasonably assigned. The final expression of data fusion and estimation is obtained. The data fusion results show that this method demonstrates higher fusion precision, and also excellent.
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基金项目:国家自然科学基金(60873139); 留学回国人员科技活动择优项目; 山西省科技基础条件平台建设项目(2011091003-0103) 国家自然科学基金(60873139); 留学回国人员科技活动择优项目; 山西省科技基础条件平台建设项目(2011091003-0103)
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杨国宁,冯秀芳,樊刘娟.一种基于最优融合集的多传感器数据融合算法.软件学报,2012,23(zk1):134-140

YANG Guo-Ning,FENG Xiu-Fang,FAN Liu-Juan.Multi-Sensor Data Fusion Algorithm Based on Optimal Fusion Set.Journal of Software,2012,23(zk1):134-140