Biasedness properties for a class of Kalman-like estimators

A model for observing the system state under multiplicative and additive noise conditions has been recently proposed to extend the well-known Kalman estimation theory. In the present correspondence we investigate the biasedness properties for the best linear recursive estimator of such a model, and discuss means for adjusting the generally nonzero bias term of the estimator.