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.

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Background. Modern methods for determining the coordinates of elements of wireless sensor networks allow solving problems with a single determination and errors in determining the mutual distances between elements of a wireless network. In the case of increasing requirements for the accuracy of determining the coordinates of network elements, existing methods do not allow solving the problem. Objective. Improving the accuracy of estimating the coordinates of elements of wireless sensor networks based on multiple measurements of distances between network elements. Methods. The determination of the coordinates of the elements of wireless sensor networks is implemented in two stages. At the first, by repeatedly measuring the mutual distances between the elements, an estimate of the coordinates and a correlation matrix of errors in estimating the coordinates of the elements of the wireless s ensor network are determined. In the second, in order to improve the accuracy and ensure the stability of the estimation process, an adaptively regularized Kalman filtering algorithm is proposed to refine the coordinate estimates and the correlation matrix of errors Results. The proposed method, based on the adaptive-regularized estimation algorithm, according to the results of simulation, allows increasing the accuracy of estimating the location parameters of wireless sensor networks by an average of 12-16% and at the same time provides stability and convergence of the estimation process. Conclusions. The considered method for determining the coordinates of elements of wireless sensor networks can be implemented in modern terrestrial sensor networks for various purposes.

Background. Modern methods for determining the position of the source of radio emission in the Fresnel zone from the sphericity of the electromagnetic wave front received by the linear antenna array allow solving the problem of simultaneous determination of the direction and range only for a stationary source of radio emission. In the case of a radio source, the accuracy of estimating the location parameters will be low. Objective. The aim of the paper is to increase the accuracy of the method for estimating the location parameters for a mobile radio source in the case of the sphericity of the electromagnetic wave front, which is adopted by a linear antenna array. Methods. An estimate of the angular direction during the motion of a radio emission source is made by estimating the phase difference in the "sliding window". The range estimate is determined from the results of the estimates in the "sliding window" of the difference in phase differences between the symmetric elements of the linear array antenna. Results. The considered method, based on the results of simulation, makes it possible to increase the accuracy for estimating the location parameters for a mobile radio source by 25-35%. Conclusions. The proposed method can be easily implemented in mobile monitoring systems of radio emission sources when they are in the Fresnel zone.