Research on fusion recognition algorithm for different reliable sensors Based on the belief function theory
Yaowen Fu · Signal Processing · 2009
Under the framework of belief function theory,a new fusion recognition algorithm for different reliable sensors was proposed at decision level.Combining the prior static information of each sensor' s confusion matrix with the dynamic information of its current decision,the algorithm acquires the reliability factor of each sensor's current output recognition evidence.These reliability factors are applied to the discount of corresponding evidence and then these modified evidences are combined by Dempster' s combination rule. The simulation experiment indicates the algorithm outperforms these exiting fusion methods which takes the reliability into account.