摘要
介绍了多传感器数据融合技术中的Dempster-Shafer证据理论法的应用。多传感器系统中包括声传感器、振动传感器、磁传感器和红外传感器。此系统对同类、异类传感器的信号采集、预处理,及数据的预处理结果用概率的形式表示,数据融合在此多传感器系统中的作用是采用Dempster-Shafer证据理论法进行融合,利用多传感器的互补与冗余信息,提高整个传感器系统的有效性。
This paper introduces the application of Dempster-Shafer evidence theory of multi-sensor data fusion technology.The multi-sensor system includes 4 types of sensors,such as acoustic sensors, vibration sensors, magnetic sensors and infrared sensors. This system acquires and processes the similar and heterogeneous sensor＇ s signal. To present the data of processing results with the form of the probability. The function of data fusion in multi-sensor system further integration by Dempster-Shafer evidence theory. Using complementary and redundant information of multi- sensor, enhancing the effectiveness of the entire sensor system.
基金
国家自然科学基金(E052502)
关键词
数据融合
证据理论
不确定性
算法
data fusion
evidence theory
uncertainty
algorithm
