Optimal sequential Kalman filtering with cross correlated measurement noises

The purpose of this paper is to present a new optimal sequential decentralized filtering algorithm for discrete time-varying linear control systems with cross-correlated noises. The new method uses a hierarchical structure to perform successive orthogonalization of the measurement noises, and drives