ISSN 1991-2927
 

ACP № 1 (55) 2019

Keyword: "filtering"

Konstantin Konstantinovich Vasiliev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; Honored Worker in the science and engineering of Russian Federation; Correspondent Member of the Tatarstan Academy of Sciences; graduated from the Faculty of Radioengineering at Leningrad Institute of Electrical Engineering named after V. I. Ulyanov (Lenin); completed his post-graduate studies at the same Leningrad Institute; a head of the Department of Telecommunication at Ulyanovsk State Technical University; an author of monographs, textbooks, and articles in the field of statistical synthesis and analysis of information systems. [e-mail: vkk@ulstu.ru]K. Vasiliev,

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering at Ulyanovsk Polytechnic Institute; First Deputy Director General for Scientific Affairs at Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods for signal processing. [e-mail: mars@mv.ru]E. Pavlygin,

Aleksandr Sergeevich Gutorov, Federal Research-and-Production Center Joint-Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Radioengineering at Ulyanovsk State Technical University; a post-graduate student of Ulyanovsk State Technical University, Chief Designer at Federal Research-and-Production Center Joint-Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: gutorov_as@mail.ru]l. Gutorov

Building Maneuvering Targets Trajectories on the Basis of Splines and Kalman Filters 000_8.pdf

The algorithms of tracking radar targets on the basis of Kalman filtering and smoothing splines allowing to estimate target motion parameters in the absence of accurate information about the dynamic model are considered. The comparative analysis of algorithms effectiveness for different types of trajectories was carried out. It’s well established that in case of intensive maneuvering and quite accurate initial measurements, the algorithms on the basis of splines (approximation of the curve with the use of spline functions) are subjects to a little uncertainty, simple to software implementation, moreover, they do not require a lot of computational resources. Simultaneously, preference should be given to Kalman methods (recursive functions estimating the state of the dynamic system) for smoothly varying trajectories with known statistical parameters. Under conditions of uncertainty relative to dynamic parameters of the target, many-model multiversion procedures for trajectory construction are proposed. Experimental results were obtained on the basis of the radar situation simulation. The results allow to confirm working ability and the efficiency of algorithms and software developed.

Radar, detection, distinction, estimation, filtering, spline, simulation.

2016_ 1

Sections: Mathematical modeling

Subjects: Mathematical modeling, Automated control systems, Architecture of ship's system.


Innokentiy Vasilyevich Semushin, Ulyanovsk State University, Doctor of Science in Engineering, Professor of Information Technology Department at Ulyanovsk State University (UlSU); graduated from V.I. Ul’ianov [Lenin] Leningrad Electrical Engineering Institute, “LETI”, Faculty of Automation Engineering and Computer Science (now Faculty of Computer Science and Technology); author of papers, monographs and textbooks; holds patents for inventions; is interested in filtering and control under uncertainty. [e-mail: kentvsem@yandex.ru]I. Semushin

Straightaway Explicit Fir Programming Algorithm for Filtering, Smoothing, and Prediction 000_9.pdf

In this paper, we develop a straightaway explicit finite impulse response (FIR) programming algorithm for the filtering, smoothing, and prediction of signals containing a nonrandom component or their derivatives as an admissible alternative to previously known methods. The distinctive property of the algorithm is that it determines the FIR directly via the Chebyshev polynomials arising in the finite sample based quadratic approximation numerical analysis thus alleviating the problem of normal equations solution in the ordinary least squares (OLS) method. Using the Chebyshev polynomials gave an option of obtaining the following: short and explicit calculation formulae for FIR, i. e. for the conversion device weighting coefficients, including a possibility of estimating the signal derivatives; short formulae for filter-predictor smoothing factors; necessary memory size design procedure for filter-predictors of arbitrary astaticism order. Results obtained are useful for practical calculations when making a selection of filtering or prediction formula, i.e. while programming a FIR conversion device, and they can find practical use in adaptive devices.

Fir-filters, transversal filter structure, chebyshev polynomials, filtering, smoothing, prediction, quadratic approximations.

2015_ 2

Sections: Mathematical modeling

Subjects: Mathematical modeling, Electrical engineering and electronics.


Nikolai Vladimirovich Luchkov, Federal Research-and-Production Center Open Joint-Stock Company ‘Research-and-Production Association ‘Mars’, [e-mail: nik-lnv@mail.ru]N. Luchkov

An Analysis of Radar Data Multiplexing, Time and Spatial Bindings 39_3.pdf

The article deals with common approaches to the designing of trajectory data processing system. Fundamentals of maneuvering target trajectory parameter estimation are presented. The software is developed in which two types of trajectory processing are realized and compared in effectiveness. The first type includes standard trajectory signal processing for each type of measurements. The second type supposes integration of all measurement results. The estimation of time and spatial bindings using proposed algorithms is analyzed. The straight-line object motion and maneuvering modeling for data multiplexing algorithm is carried out to perform a comparative analyzes for the proposed algorithms. A procedure of accounting the data receiving time that ensures data load-time binding is proposed. These results can be used for developing software that combines radar data flows in an effort to cluster all changing conditions.

Estimation, filtering, load-time binding, spatial binding, data multiplexing.

2015_ 1

Sections: Automated control systems

Subjects: Automated control systems, Architecture of ship's system.


Aleksandr Sergeevich Gutorov, Federal Research-and-Production Center Open Joint-Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Radioengineering at Ulyanovsk State Technical University; a post-graduate student of Ulyanovsk State Technical University, Chief Designer at Federal Research-and-Production Center Open Joint-Stock Company ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: gutorov_as@mail.ru]A. Gutorov

Mathematical Modeling and Research of Filtering Algorithms While Target Data Tragectory Processing 39_5.pdf

The tracking of a maneuvering target in automated systems is a quite difficult task. A sudden change in speed of a target or change of its movement direction can have a major effect on the result of target movement parameters filtering. There are some methods of target movement characterization in statically indeterminate situations, at which conformities between measured and real objects positions are unknown, such as algorithms using Kalman Filter, multimodel filtering algorithms, and algorithms of intermodel interaction. The goal of this article is a research of algorithms for preliminary processing of target trajectories experimental data, intended for smoothing random interferences. The algorithm based on the spline smoothing function constructed by several trajectory points is also offered to be used to increase accuracy of maneuvering trajectory estimation in target tracking. This algorithm makes it possible to evaluate the intensive change of target movement parameters in case the dynamic movement model is not available, based on measured data and its approximation. The simulation of target movement parameters estimation algorithms proves that this algorithm provides a more exact result in comparison with algorithms using Kalman filter. In addition, this algorithm is quite simple to implement and requires not many computational resources. This algorithm can be used together with multimodel radar data processing algorithms.

Radar location, detection, discrimination, estimation, filtering, simulation modeling.

2015_ 1

Sections: Mathematical modeling

Subjects: Mathematical modeling, Architecture of ship's system.


Konstantin Konstantinovich Vasiliev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; Honoured Worker in the Science and Engineering of the Russian Federation; a correspondent member of the Tatarstan Academy of Sciences; graduated from the Faculty of Radio-Engineering at the Leningrad Institute of Electrical Engineering named after V. Ulyanov (Lenin); completed his post-graduate studies at the same Leningrad Institute of Electrical Engineering; Head of the Department of Telecommunications at Ulyanovsk State Technical University; an author of monographs, textbooks, and articles in the field of statistic synthesis and analysis of information systems. [e-mail: vkk@ulstu.ru]K. Vasiliev,

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Association ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radio-Engineering at Ulyanovsk Polytechnical Institute; Deputy First Director General for Science at Federal Research-and-Production Association ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: mars@mv.ru]E. Pavlygin,

Alexander Sergeevich Gutorov, Federal Research-and-Production Association ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Radio-Engineering at Ulyanovsk State Technical University; a post-graduate student at Ulyanovsk State Technical University, Chief Designer at Federal Research-and-Production Association ‘Research-and-Production Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [e-mail: gutorov_as@mail.ru]A. Gutorov

The Multi-model Data Processing Algorithms of the Mobile Radar System 38_1.pdf

The creation features of trajectory processing algorithms for mobile multi-position radars and the software complex for 3D-simulation of a situation, radar surveillance and data exchange (virtual polygon) processes are considered. The combining data and the trajectory processing are carried out based on multi-model procedures of a simultaneous distinction and evaluation of dynamic vector parameters.To examine and debug algorithms, designed for the trajectory processing, a software virtual polygon is developed, which provides a virtual 3D-polygon modeling, including local objects and maneuvering targets, as well as the processes of information acquisition and processing with a given number of mobile radars of various types. The documented materials of all the major processing stages of the observation results of two ‘Reka’ type radars are presented explanatorily. In addition, three models of the objects motion with different dynamic properties are simulated. The developed methods, algorithms, and software can be taken as a basis for the creation of advanced systems designed for the processing of a large number of interacting mobile multi-position radars.

Radar location, detection, selection, evaluation, filtering, simulation.

2014_ 4

Sections: Automated control systems

Subjects: Automated control systems, Architecture of ship's system.


Nikolai Vladimirovich Luchkov, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering, graduated from the Faculty of Radioengineering and from post-graduate studies at the Telecommunications Chair of Ulyanovsk State Technical University; research engineer at Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of articles in the field of statistics methods in signal processing [e-mail: nik-lnv@mail.ru]N. Luchkov

Modeling and Analysis of Effectiveness of Filtering Algorithms for Multidimensional Images 31_12.pdf

The article examines tasks of effectiveness of filtration of multidimensional images. It offers approaches that allow to reduce computing costs in comparison with direct calculation methods for Wiener-Hopf combined linear equations.

Statistics methods, evaluation, filtering, random field, multidimensional images.

2013_ 1

Sections: Software and mathematical support of computers, computer systems and networks

Subjects: Mathematical modeling.


Konstantin Konstantinovich Vasilyev, Ulyanovsk State Technical University, Doctor of Engineering, Professor, Honoured Worker in Science and Engineering of the Russian Federation, correspondent member of the Tatarstan Academy of Sciences; graduated from the Faculty of Radio-Engineering and finished his post-graduate studies at the LETI named after Vladimir Lenin; holds of the Chair Telecommunications at the Ulyanovsk State Technical University; author of monographs, text-books and articles in the field of statistics synthesis and analysis of information systems. Phone: +7 (8422)778 123. [e-mail: vkk@ulstu.ru]K. Vasilyev

Use of Statistics Methods for Design of Ships Communications and Automatic Movement-control Systems 23_10.pdf

The article deals with tasks of navigation-parameter filtering and simultaneous discrimination of hypotheses and evaluation of changing parameters of ships communications and control systems. It cites examples of the successful use of the indicated statistics methods.

Statistics methods, filtering, communications systems, optimal control.

2011_ 1

Sections: Mathematical modeling, calculi of approximations and software systems

Subjects: Mathematical modeling, Automated control systems, Architecture of ship's system.


Konstantin Konstantinovich Vasiliev, [e-mail: mars@mv.ru] K. Vasiliev,

[e-mail: mars@mv.ru]Nikolai Vladimirovich Luchkov, N. Luchkov

Modeling of Algorithm of Extended Signal Location in Polyzonal Images 18_13.pdf

The article deals with an algorithm of extended signal location on the background of polyzonal image at given values of probable false alarm and probable correct location.

Modeling, location, filtering, random field, polyzonal image.

2009_ 4

Sections: Modeling for tasks of design and control

Subjects: Computer-aided engineering, Artificial intelligence, Architecture of ship's system.


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