Distributed uncorrelated optimal fusion algorithm for multisensor system

Abstract

The distributed uncorrelated optimal fusion algorithm is received by avoiding computing correlated estimation covariance based on the matrix operation. Compared with classical multisensor distributed suboptimal algorithm and optimal fusion algorithm, this algorithm can adapt to the system with more than three sensors and has the advantages of the count capacity because it has no use for saving and computing the middle variable. Simulations show the developed-algorithm has an excellent-estimation performance.