A UNIFIED STEADY STATE KALMAN ESTIMATORS

Using white noise estimation theory and modern time series analysis method, this paper presents a steady-state Kalman estimators based on the ARMA innovation model for systems with correlation noises and measurement delay,which can handle the filtering,smoothing and prediction problems in a unified framework,and can be applied in real time.A simulation example shows usefulness of the proposed estimators.