摘要
本文主要通过分析了D-S信息融合的一般过程、基本概率赋值的获取方法、以及D-S信息融合算法在MATLAB上的仿真与分析,论证了以D-S证据理论为核心的多传感器信息融合算法能够有效地对多个传感器采集的信息进行融合,使不同类型的传感器发挥各自的特点,实现优势互补,提高系统对目标属性判决的准确性。
The thesis through analyse commonly process of Dempster-Shafer data fusion,basic probability assignment acquire and D-S data fusion arithmetic of MATLAB software simulation and analysis,prove that the core of multi-sensor data fusion arithmetic D-S evidence theory can effectively fuse data collected from Multi-sensor,making different type sensors exert respective function,realizing advantage reinforcement,enhancing the veracity of recognition for target.
出处
《国外电子测量技术》
2010年第12期31-34,共4页
Foreign Electronic Measurement Technology
关键词
D-S证据理论
基本概率赋值
信息融合
Dempster-Shafer evidence theory
basic probability assignment
data fusion
