Multi-sensor Fusion Estimation Based on Adjacent Measurement Cognitive Information

On the basis of constructing the fuzzy measurement cognitive bias,a novel independent quota fusion algorithm for the multi-sensor data is proposed.And the given sensor’s reliability can be obtained by using mean value and covariance value of the adjacent information,which can ensure the objectivity and sensitivity for the fusion weight assignment.Experimental result shows that compared with the mean and support degree based data fusion techniques,the more reasonable fusion weight assignment can improve the fusion precision further by the proposed method.