Weight evidence combination for multi-sensor conflict information

When the information of multi sensors highly conflict in target identification system, the information fusion result will be unreasonable by DS combination rule. In order to solve the problem, weight evidence combination approach is proposed in this paper. When several pieces of evidences are combined, the mutuae support degree can be calculated according to the evidence distance. Eigenvector for the maximal eigenvalue of evidence support degree matrix is considered to be weight vector. Then, evidence discount coefficient can be gained, and it is used to modify every evidence, which is combined by DS rule. Finally, several methods are compared and analyzed through numeric simulation, and the result suggests the new approach is very available to solve the problem of high conflict information fusion.