When using quadrature signals in radio channels, flat and selective fading, multipath radio reception, intersymbol interference, and jitter occur. In addition to the need to accurately estimate the value of the phase difference at the current and previous clock intervals, a critical factor in receiving and demodulating such signals is the accuracy of measuring the amplitude of their samples. When demodulating such signals, an approach is possible, the basis of which is to measure the values of individual signal samples at discrete time points with higher accuracy than in existing electronic devices. Such an approach can be implemented by an optoelectronic device in which a coherent luminous flux is formed, the parameters of which are modulated by a voltage proportional to the readings of the received radio signal. Using a modulated light flux, an interferogram is formed, the parameters of which are directly related to the parameters of this light flux and accordingly to the parameters of the received radio signal. This makes it possible, by increasing the accuracy of estimating radio signal samples, to increase the base of the alphabet used for code manipulation, the efficiency of using the allocated frequency band for transmitting information and reduce the probability of a bit error. The article presents a mathematical model for converting the parameters of the received radio signal into the parameters of the generated interferogram. By mathematical modeling the accuracy characteristics of an optoelectronic device for measuring radio signal samples were evaluated. The results of mathematical modeling illustrating the relationship of the parameters of the optical elements of the device with the accuracy of estimates of the radio signal counts are presented. The practical significance of the proposed optoelectronic device can be used as an independent device for analog-to-digital conversion of radio signals, as well as part of demodulators for QAM and OFDM signals in networks and communication systems of 5G and the next generations.
This article discusses the possibility of generalizing the existing methods of optimization of observations to the problems of resource management of intrusion detection systems. The aim of this work is to study the applied aspects of the application of the surveillance optimization method, which increases the efficiency of using the resources of intrusion detection systems. The set goal of the work was achieved through the following tasks: (1) on the basis of experimental data, the development of a dynamic model of the controlled object and the observation model was carried out; and (2) numerical modeling of the solution to the problem of optimizing observations of the state of monitored objects in the intrusion detection system was carried out. As a result of this research, modern approaches to the management of resources of intrusion detection systems have been analyzed. A practical study of the possibility of using the mathematical apparatus for optimizing observations in relation to the problems of resource management of intrusion detection systems has been carried out. The most important scientific findings are as follows: (1) model of the dynamics of the controlled object; (2) model for monitoring the state of controlled objects; and (3) procedure for optimizing the plan for monitoring the state of monitored objects in intrusion detection systems. The significance of the results obtained is confirmed by a numerical experiment, within the framework of which a relative gain in the accuracy of assessing the state of controlled objects of 99.9% was obtained in comparison with a uniform observation plan.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.