Multisensor information fusion based on Dempster-shafer theory and power average operator

In multisensor information fusion, the key problems are the representation of sensor report and the combination methodology of sensor information. In this paper, we propose a novel method for the fusion of multisensor information. Within the proposed method, the sensor report has been represented by using Dempster-shafer theory. Then an evidence-driven method is proposed to obtain the relative credibility of each sensor based on the power average operator. At last, a weighted balance evidence theory is employed to combine the sensor reports. The proposed method is efficient for the representation of uncertain information and fusion of conflicting sensor reports. A numerical example is given to demonstrate the effectiveness of the proposed method.