SOURCE IDENTIFICATION METHODOLOGY IN RADIO MONITORING OBJECTS USING MULTI-MEANING

Abstract

Background. With the constant development of radio-electronic equipment and telecommunication technologies and the appearance of new technical means of various purposes, including dual meaning, which already have and operate with new “non-traditional” information features. The specified circumstances require the improvement of their radio monitoring and countermeasure systems, from the point of view of the development of highly effective intelligent systems that ensure the collection, processing, accumulation and use of the received monitoring information for decision-making on a real-time scale. Objective. Increasing the effectiveness of radio monitoring of radio radiation sources is carried out by decomposing their informational features into static and dynamic ones with further formalization of the observation and decision-making process. Methods. The decision on whether the source of radio radiation belongs to one or another class is made on the basis of a preliminary calculation of information feature estimates for all possible sets of features and the use of multi-valued logic functions to make a decision. The preliminary calculation makes it possible to increase the speed of the algorithm and make a decision about whether the object of recognition belongs to one or another class by calculating the value of only one function, and recalculating the estimates of static and dynamic information features only when the descriptions of classes of radio radiation sources are changed. Results. The proposed technique makes it possible to significantly expand the classes of classes of sources and objects of radio monitoring and will ensure an increase in the speed and reliability and efficiency of the recognition process as a whole. Conclusions. Deciding whether a source of radio radiation belongs to one or another class through the use of multi-valued logic functions allows increasing the efficiency of the radio monitoring system and significantly expand the class of monitoring sources.