Bayesian recognition of a moving object information-measuring system state: a priori information weight correction

Abstract

Within the framework of the Bayesian approach, a method has been developed for recognizing signal-interference situations that arise during the operation of the information-measuring system of a moving object. The corresponding algorithms are presented. A method for correcting the weight of a priori information in the case of its significant difference from a posteriori information is proposed. One of the possible correction options using the so-called indicators of signals and interference accompanying signs is presented.