The ARMA innovation models play an important role in the optimal filtering.The ARMA innovation model which is equivalent to the steady-state Kalman predictor is derived for systems with correlated noises,and a new approach of constructing the ARMA innovation models is presented based on the iterated solution of steady- state Riccati equations.A simulation example shows its effectiveness.