Abstract: Using the modern time series analysis method, based on the controlled autoregressive moving average (CARMA) innovation model, two new algorithms of steady-state Kalrnan filter gain for stochastic control systems are presented, where the solution of the Riccati equation is avoided. In order to ensure the asymptotic stability of the filter, two formulae of setting initial filtering estimate are given. A simulation example shows the effectiveness of the new algorithms.