Kalman filtering for multiple-delay wireless network systems

This paper is concerned with the problem of optimal state estimation for multi-delay wireless network systems with nonzero-mean processes and measurement deviation under multiple packet dropouts. The orthogonal projection principle and reorganized innovation analysis approach are used to address the proposed problem. m + 1 Riccati equations of same dimension are given to solve the Kalman filter parameters. Finally, an illustrative example is given to show the effectiveness of the proposed method.