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Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/35393
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Документ Analysis of the known methods of channels communication control with the interference and selective fading(Національний технічний університет "Харківський політехнічний інститут", 2019) Zhyvotovskyi, Ruslan; Momit, Alexander; Onbinskyi, Yaroslav; Lyashenko, AnnaDesigning adaptive radio systems, depending on their purpose, solves the problem of optimizing one of the performance indicators with restrictions on others. In turn, the development and implementation of adaptive information sharing techniques require the establishment of effective procedures for monitoring and predicting the status of communication channels and the quality of information transmission. Given the rapid development of electronic warfare facilities, the expansion of the list of interferences that can be created by these complexes, it is great relevance for further scientific research on the creation of new methods of monitoring the status of the communication channel. In this research, the authors analyzed the characteristics of the main methods for assessing the status of communication channels. In the course of the analysis, the authors used general scientific methods of analysis and synthesis, the basic provisions of communication theory, data transfer theory, space-time coding theory, noise immunity theory, signal-code theory, etc. The authors of the article analysis of the known methods of estimating the state of the channel of multi-antenna communication systems showed that the known scientific articles do not contain the following: parallel estimation of the status of the channel by several indicators; obtaining a generalized channel status assessment; continuous evaluation of several characteristics in real-time; at the same time evaluate both the linesdown and the lines up; the combination of the impulse response of the channel state, the frequency response of the channel status, and the bit error probability is not used for the estimation. It is established that at present there is no universal methodof monitoring the status of channels of multi-antenna radio communication systems, which would give an accurate, fast estimate of the status of the channel in real-time, which would allow effective adaptation in a channel with non-stationary parameters.Документ Method of signal processing in МІМО systems of unmanned aviation complexes(НТУ "ХПІ", 2018) Zhyvotovskyi, Ruslan; Petruk, SergiiNoise immunity of receiving signals in the MIMO (Multiple Input Multiple-Output) system essentially depends on the choice of the signal processing method on the receiving side. Existing methods of signal processing, in the MIMO system, that provide a given quality of information transmission, have high computational complexity, so there is a necessity to improve these methods. The purpose of this article is to increase the impedance of channels of control and data transmission of unmanned aerial systems, which was achieved by developing new method of signal processing in multi-antenna systems of unmanned aerial systems. The article developed an improved method of signal processing in MIMO systems of unmanned aerial systems, the essence of which is the ability to work with a known and unknown correlation matrix, the division of received signals into groups and the evaluation of each group, taking into account the evaluation error. During the research, the theory of communication, signal theory, the theory of antennas and the theory of noise-proof coding were used. The difference between an improved method is, that the method allows you to work with an unknown correlation matrix. While processing a signal in a demodulator, each iteration takes into account not only the estimate obtained in the previous step, but also the degree of accuracy of the character estimation. The proposed improved method has characteristics, that are close to the characteristics of demodulator, optimal for the criterion of maximum likelihood, but much less computational complexity. The method allows you to reduce computing costs by 20 times,compared with the maximum likelihood algorithm. The practical implementation of this method will allow the creation of software for communication equipment of unmanned aeronautical complexes, which operate in difficult conditions of the radio electronic environment.