摘要
在深入研究证据理论中基本可信度分配和信任函数的关系基础上,首次提出把信任函数作为基本可信度分配进行数据融合的思想。应用这一思想对多传感器的敌我识别提出了一种改进的融合算法,仿真结果表明该算法更具有可分析性,且计算复杂度也大大降低。
The relationship between basic probability assignment(BPA) and belief function is studied in this paper.The idea that belief function is regarded as BPA in data fusion is firstly introduced.An improved algorithm of friend or foe identification for multi-sensor fusion is put forward based on this idea.The results of experimental simulation show that the improved algorithm is more easily to analyze,and the computational complexity of the algorithm decreases greatly.
出处
《传感器技术》
CSCD
北大核心
2005年第7期69-71,75,共4页
Journal of Transducer Technology
关键词
数据融合
证据理论
信任函数
敌我识别
data fusion
evidence theory
belief function
friend or foe identification
