Comparison of multi-sensor fusion filters weighted by scalars and matrices

Two fusion formulas with scalar and matrix weights are presented. The statistical relationship between them is established. They are compared on the multi-sensor Kalman filtering problem. The basic equation for cross-covariance of the local Kalman estimates being the key quantity for distributed fusion is derived. Examples demonstrating the desirable accuracy of the proposed fusion filters are given.