ISSN 1991-2927
 

ACP № 4 (58) 2019

Author: "Mikhail Grigorevich Tsarev"

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УДК 004.932.4

Aleksandr Grigorevich Tashlinskii, Doctor of Sciences in Engineering, Professor; graduated from the Faculty of Radioengineering at Ulyanovsk Polytechnic Institute; Head of the Department of Radioengineering at Ulyanovsk State Technical University; an author of articles, monographs, and inventions in the field of digital signal-and- image processing. e-mail: tag@ulstu.ruA.G. Tashlinskii,

Galina Leonidovna Safina, Candidate of Sciences in Engineering; graduated from Faculty of Mathematics and Economics at Ulyanovsk State Technical University; Associate Professor of the Applied Mathematics Department at the Moscow State (National Research) University of Civil Engineering; an author of articles, monographs in the field of digital image processing and computer vision as well as of studying of the fluid flow in a porous medium. e-mail: minkinag@mail.ruG.L. Safina,

Roman Olegovich Kovalenko, Postgraduate Student at Ulyanovsk State Technical University; graduated from the Radioengineering Faculty of UlSTU; an author of articles in the field of parameter estimation of image deformation. e-mail: r.kovalenko.o@yandex.ruR.O. Kovalenko,

Mikhail Grigorevich Tsarev, Senior Lecturer at the Department of Radioengineering at Ulyanovsk State Technical University; graduated from the Faculty of Radioengineering of UlSTU; an author of articles in the field of parameter estimation of digital signal and image deformation. e-mail: michael.tsaryov@gmail.comM.G. Tsarev

Probabilistic finite modeling the stochastic estimation processes of interframe geometric image deformations58_7.pdf

A method of probabilistic finite modeling of the procedure for stochastic estimation of interframe geometric image deformation parameters is proposed. The method is based on the discretization of deformation parameters domain and determining at each iteration the estimation of the probability vector of estimates drift. Using the probability density method, the estimation of interframe image deformation parameters generated by an unidentified relay procedure for a given finite number of iterations is considered. The average square of the interframe difference and the interframe correlation coefficient were used as the cost estimation functions.

Stochastic estimation, iteration, probability, finite modeling, interframe deformations, parameters, estimate drift, probability distribution, correlation function.

2019_ 4

Sections: Mathematical modeling

Subjects: Mathematical modeling.

Aleksandr Grigorevich Tashlinskii, Ulyanovsk State Technical University, Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Department of Radioengineering at Ulyanovsk State Technical University; an author of articles, monographs, and inventions in the field of digital signal and image processing. [e-mail: tag@ulstu.ru]A. Tashlinskii,

Mikhail Grigorevich Tsarev, Ulyanovsk State Technical University, Postgraduate Student at Ulyanovsk State Technical University; graduated from the Faculty of Radioengineering of Ulyanovsk State Technical University; an author of articles in the field of digital signal and image processing. [e-mail: michael.tsaryov@gmail.com]M. Tsarev

Pseudogradient Time Shift Estimation of Radio Pulses Received By Spatially Distributed Sensors Using Fpld 000_13.pdf

The authors carried out the analysis of computational complexity and performance of recurrent algorithms for estimation of the difference in arrival times of radio pulses received by spatially distributed sensors such as antenna array elements in case of their realization on field programmable logic devices (FLPD). The algorithms are synthesized on the basis of non-identification pseudogradient adaptation; they do not require any prior assessment of the signal parameters. The algorithms are stable to impulse interference and used under conditions of prior uncertainty. The problem of measuring the time shift is considered as the problem of estimating the parameter of alignment of signals received by different receivers and digitized. The specificity of the algorithms implementation in VHDL in case of concerning mean square frame-to-frame difference as a target function is considered. An implementation of one of the algorithm operations (linear interpolation of discrete signal) on FPLD is shown as an example. The algorithm, the block diagram, the module diagram, and the comparative analysis of the achievable frequency for different types of FPLD are presented in the article.

Digital signal, radiolocation, spatially distributed sensors, time shift, pseudogradient estimation, target function, fpld.

2016_ 2

Sections: Electronic and electrical engineering

Subjects: Electrical engineering and electronics, Automated control systems, Architecture of ship's system.


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