Kalman filtering for linear discrete-time systems with multiple delayed noises

Abstract

The paper deals with the Kalman filtering problem for linear discrete-time systems with multiple noise delays. The adopted approach is based on projection formula in Hilbert space rather than state augmentation. The filters are computed by solving two coupled Riccati-type difference equations. Thus there is computational advantage. One example shows the effectiveness of the proposed approach.