The Kalman filter for linear systems with colored measurement noises is revisited. Besides two well-known approaches, i.e., Bryson’s and Petovello’s, another measurement time difference-based approach is introduced. This approach is easy to be implemented and generalized to nonlinear system, and can provide filtering solutions directly. A unified view on these approaches is provided, and the equivalence between any two of the three is proved.
