Static and Dynamic Assessments of Information Signs in Recognition of Sources and Objects of Observation in the Process of Radio Monitoring

Abstract

Background. The current state and problems of the surveillance and radio monitoring systems of Ukraine require fundamentally new approaches to increasing their efficiency and the level of informatization. At the same time, the informatization of the radio monitoring system should be understood as the process of implementation and application in various areas of their activity of methods and means of collecting, transmitting, processing, saving and using information in order to increase the effectiveness of conducting radio monitoring and meet the needs of national security based on the formation and use of information resources.
 Objective. The purpose of the paper is to increase the effectiveness of radio monitoring by using the calculation of estimates of dynamic and static informational features when recognizing sources and objects of radio radiation and determining their phase (operational) state and level of possible danger.
 Methods. Recognition is based on the method of least squares by calculating the degree of "similarity" (similarity coefficient) of the recognized object with objects whose classes are known. Both the researched and reference objects are presented as a set of values of informational features of various nature, some of which are unchanged over the entire period of observation, that is, static, while others change dynamically.
 Results. The structure of the automated system of classification and recognition of surveillance objects and the recognition algorithm based on the calculation of static and dynamic information features and the similarity coefficient are proposed.
 Conclusions. A distinctive feature of deciding whether an object or a source of information belongs to one or another class feature is the calculation of the degree of "similarity" (similarity coefficient) of the recognized object to objects whose classes are known. To eliminate recognition errors associated with a violation of the synchronicity of measurements of the values of dynamic informational features of reference objects and objects to be recognized, a calculation is required taking into account possible time shifts.

Source Identification Methodology in Radio Monitoring Objects Using Multi-Meaning

“…As stated in [5], the initial data for solving recognition tasks are: Recognition and classification of SORr with the help of the algorithm proposed in [5] requires calculation of estimates of static and dynamic IOs for each class of recognition objects, combining estimates of static and dynamic features into a total estimate and calculation of the probabilities with which the object of recognition can be assigned to each of the reference classes.…”

“…where: xsf j -the value of the received estimate of the j -th static feature of the recognition object; The probabilities with which this object of recognition can be assigned to each of the l reference classes is calculated by the expression [5]:…”

“…Calculating scores and deciding whether an object belongs to one or another class can be simplified by pre-calculating scores for all possible sets of features and using multi-valued logic functions to make a decision. Precalculation of grades allows replacing in the recognition algorithm [5] the calculation of grades according to formulas (1, 2) by searching for their values in a table calculated and compiled in advance, which makes it possible to increase the speed of the algorithm as a whole. The use of multi-valued logic functions will make it possible to make a decision about whether the object of recognition belongs to one or another class by calculating the value of one function, and recalculating the estimates of static and dynamic IFs can be performed only when the descriptions of SORr classes are changed.…”

“…In [5], the authors limited themselves to a description of the general approach and basic procedures for calculating estimates of static and dynamic IFs in the recognition and classification of SORr and the structural diagram of their automatic classification system and the recognition and decision-making algorithm. Therefore, based on the above, the purpose and main content of the article is a description of the method of recognizing sources and objects of radio radiation during their monitoring using functions of multi-valued logic (k-logic) and digitalization of the observation process.…”