Comments on "Identification of optimum filter steady-state gain for systems with unknown noise covariances"

The approach to the estimation of the optimum Kalman filter steady-state gain proposed by Mehra and modified by Carew and Belanger can be improved by noting the true statistical nature of the problem. A new approach based on both simple or weighted least squares is outlined and tested by Monte Carlo simulation.