The Kalman Filter, firstly proposed by R.E. Kalman (1960, cf. [1]), is an algorithm to estimate the optimal parameters of a linear dynamical system. Precisely, the idea of Kalman filtering is to predict a state vector’s mean and variance after updating all the information from the previous period.