A class of real-time AR identification algorithms in the case of missing observations

This paper deals with the problem of adaptive AR estimation from incomplete observations. The method is based on the optimization of a weighted squared error criterion. Various approximates of this criterion lead to different algorithms. The formal description of these algorithms are given and their performances in stationary and non-stationary environments are compared.