Least mean-squared error polynomial estimation in systems with uncertain observations

We consider a kind of discrete-time linear systems with uncertain observations, in which the additive noise of the state and observation equations are correlated with each other. By using the orthogonal projection theorem, a recursive algorithm to obtain the least mean-squared error polynomial estimator for the state of these systems is proposed.