Kalman estimation with Brownian disturbances (Q5959121)

The authors consider the problem of state estimation in dynamical linear systems where both states and output disturbances are not the usual white noises, but rather are Brownian motions. By using an augmented state vector, the problem is converted into a classical Kalman filtering problem. Another approach is based on prefiltering. Simulation results illustrate the efficiency of these methods.