Comparative Analysis of the Efficiency of Statistical Algorithms for Interference Suppression in an Automatic Locomotive Signaling System

Abstract

The problem of interference suppression in the signals of an automatic locomotive signaling system is considered as a problem of separating the signals of a locomotive signaling system and interference in an additive mixture of these signals. To solve this problem, it is proposed to use statistical algorithms for signal separation based on a priori information concerning the properties of signal sources. Studies on the potentialities of statistical interference suppression algorithms have been carried out based on computational experiments with the use of reference signals. Based on the results of computational experiments, a comparative analysis of the efficiency of statistical algorithms under the conditions of different interference types affecting the rail channel is presented. The computational experiments have shown that the use of statistical algorithms makes it possible to suppress interference, the level of which is comparable to the level of signals inherent in the locomotive signaling system.