We describe an algorithm to calculate the steady-state Kalman filter gain and Riccati equation solution for a discrete-time Kalman filter, Our algorithm makes use of an approximate autoregressive model for the one-step predictor and only requires the solutions to linear equations, All of the nonlinear calculations can be made explicitly.