Steady-state Kalman filter with correlated measurement noise-an analytical solution

An analytical solution is presented for a discrete-time, steady-state Kalman filter with correlated measurement noise. The measurement model is a first-order Markov process, characterized by variance and correlation parameters. The analytical results are used to study the effect of a correlation on steady-state tracking accuracies.<<ETX>>