RESEARCH OF THE ADAPTIVE FINITE-TIME SIGNAL FILTERING METHOD AND COMPARISON WITH THE ADAPTIVE KALMAN FILTERING

Abstract

The method of optimal characteristics, high stability and simplicity of the algorithm is presented. The method under consideration is compared with Kalman filtering. Cases of a priori uncertainty with unknown correlation functions of the noise and the useful signal are considered. Key words: finite-time filtering, Kalman filtering, a priori uncertainty.