STATIC AND DYNAMIC ASSESSMENTS OF INFORMATION SIGNS IN RECOGNITION OF SOURCES AND OBJECTS OF OBSERVATION IN THE PROCESS OF RADIO MONITORING

Аnatoliy Ilnytskyi, O. Tsukanov
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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.
无线电监测过程中识别观测源和观测对象的信息标志的静态和动态评估
背景。乌克兰的监视和无线电监测系统的现状和问题要求从根本上采取新的办法来提高其效率和信息化水平。同时,无线电监测系统信息化应理解为以信息资源的形成和利用为基础,提高无线电监测工作的有效性,满足国家安全需要,在其活动的各个领域实现和应用信息的收集、传输、处理、保存和利用的方法和手段的过程。目标。本文的目的是在识别无线电辐射源和目标并确定其相位(运行)状态和可能的危险级别时,通过计算动态和静态信息特征的估计来提高无线电监测的有效性。方法。识别基于最小二乘方法,通过计算识别对象与已知类别对象的“相似度”(相似系数)。研究对象和参考对象都表现为一组不同性质的信息特征值,其中一些特征值在整个观测期间是不变的,即静态的,而另一些则是动态变化的。结果。提出了监控目标自动分类识别系统的结构和基于静态、动态信息特征计算和相似系数的识别算法。结论。判断一个对象或信息源是否属于一个或另一个类别特征的一个显著特征是计算识别对象与已知类别对象的“相似度”(相似系数)。为了消除由于参考对象和待识别对象的动态信息特征值测量的同步性被破坏而产生的识别误差,需要考虑可能的时移进行计算。
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