Adaptive weighted data fusion based on evidence theory
Yanming Xiong, Ling Mao, Zhanping Yang, Shiling Li · 2010
An adaptive weighted data fusion method in multi-sensor system is described. No prior distribution information or historical data is needed, evidence theory and fault-tolerant model are applied to judge the data's quality(precision), and which is used to determine the weight of each sensor. From the result of numerical examples a conclusion can be drawn that the proposed method performs well on estimate precision and robustness.