A data fusion algorithm based on evidence theory

According to the systematic error of sensors data,a new data fusion algorithm is proposed based on the evidence theory.The proposed algorithm divides sensor data into groups according to the deviation,and the concept of basic probability assignment is applied to generate the frame of discernment.The combination rule is also applied,and the Mass function of the combined evidence is referred as the weight assignment function of all data.Finally,the fusion result is obtained by weighted summation.Simulation results show the effectiveness of the proposed algorithm.