Optimal adaptive smoothing with correlated noises

The problem of optimal adaptive smoothing is considered under the condition that random disturbances $\{w_i\}$ in the plant, random errors $\{v_i\}$ in observations, and the initial states correlate. An r.m.s.-optimal smoothing estimate is found and design of a recurrent procedure for computing the estimate is studied.