摘要
为解决雷达终端目标识别问题,采用基于推理的数据融合方法。分析了Dempster-Shafer(D-S)证据理论用于多传感器数据融合的基本概念和理论,并结合最小风险准则将其应用于雷达终端目标识别的数据融合中。实验结果证明了基于融合后的识别结果较单传感器单周期的识别结果好,验证了这一方法的正确性和有效性。
The data fusion based on reasoning is applied to solve the problem of target recognition of radar terminal.The basic concepts and the theory of Dempster-Shafer(D-S) evidence reasoning applied to data fusion are analyzed in detail.The method combined with the least risk rule is applied to the multi-sensor data fusion for the target recognition of radar terminal.The experimental results show that the data fusion result is better than that of a single sensor of single period and that the D-S data fusion method...
出处
《雷达与对抗》
2008年第3期32-34,68,共4页
Radar & ECM
关键词
证据理论
数据融合
目标识别
evidence theory
data fusion
target recognition
