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Information × Registration Number 0222U000638, 0121U100316 , R & D reports Title Ways to resolve the problem of elimination of extraneous solutions in the problems of motion parameter determination and plasma diagnostics by microwave methods popup.stage_title Head Zabolotnyi Petro I., Registration Date 14-01-2022 Organization Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine popup.description2 The study is concerned with microwave methods for measuring the displacement and the linear plasma electron density and calculating the biconical cavity eigenfrequencies. The aim of this stage is to choose lines of development of simple-hardware phase ambiguity resolution methods for microwave measurements of the displacement and the linear plasma electron density and a method of unique determination of the biconical cavity eigenfrequencies by simple computational methods, to analyze state-of-the art multiparameter data processing methods , and to study the trends in the development of neural network models and their use in microwave measurements. The investigation method is information-analytic. It is found that phase ambiguity resolution methods in microwave displacement measurements with account for the antenna reflection coefficient and microwave measurements of the linear plasma electron density should be developed for three-probe measurements using the phase unwrapping method based on analyzing the roots of the equation in the target reflection coefficient. It is found that a computationally-friendly method of unique determination of the biconical cavity eigenfrequencies should be developed using the overlapping domain decomposition method in combination with the collocation method. It is found that the methods most suitable for radiophysical motion sensing data processing and analysis are maximum likelihood methods, robust methods of statistical data processing and experimental data analysis, neural network data processing methods, and wavelet transformations. It is shown that it is advisable to use the Kohonen network in classifying solutions found by the overlapping domain decomposition method and to use a multilayer perceptron and a radial basis neural network for function approximation and regularity identification in microwave measurement data processing. The results obtained may serve as information-methodological support at the next research stages. Product Description popup.authors Goriev Mykola B Doronin Oleksiy V Doiar Olha Pavlivna Zabolotnyi Petro Ivanovych Kamkov Volodymyr P Kodzhespirova Inna F Mamachuk Valerii M Savonik Oleh M popup.nrat_date 2022-03-09 Close