An approach to automated changes detection in the radioelectronic environment based on mathematical statistics

The purpose of the research is development and experimental verification of a methodology for determining the electromagnetic environment, to achieve which an analysis of existing approaches to statistical processing of radio monitoring data and identification of their limitations has been carried out, the choice of nonparametric criteria and a scheme for using a four-field conjugacy table to assess the radioelectronic environment has been substantiated, a step-by-step methodology for automated detection of changes in the radioelectronic environment has been developed. In this context, the proposed methodology was tested on model data and the results obtained were interpreted. Methods. The research methods are based on the application of nonparametric mathematical statistics methods to radio monitoring data using a four-field conjugacy table. The conjugacy table is based on the following criteria: Fischer (F-criterion); χ2-Pearson; McNamara with Edwards correction (McE-criterion); McNamara (Mc-criterion). Results. As a result of the research, a step-by-step methodology for the automated detection of changes in the electronic environment based on nonparametric criteria and a four-field conjugacy table has been developed; it is shown that the proposed approach provides statistically sound decision-making on the presence or absence of changes in the electronic environment and its advanced development of operability on a model example. Conclusion. The proposed technique makes it possible to identify changes in the radio-electronic environment in an automated mode and on a statistically sound basis according to radio monitoring data by radio engineering means, thereby increasing the objectivity and effectiveness of decision-making in the tasks of analyzing the radio-electronic environment. The results obtained verify the workability and practical significance of the proposed approach, which allows us to consider the technique as a promising tool for automated analysis of changes in the radioelectric enviro ment.