ISSN 1991-2927
 

ACP № 2 (56) 2019

Keyword: "detection"

Konstantin Konstantinovich Vasiliev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; Honored Worker in the science and engineering of the Russian Federation; Correspondent Member of the Tatarstan Academy of Sciences; graduated from the Faculty of Radioengineering of Leningrad Institute of Electrical Engineering named after V.I. Ulyanov (Lenin);///// 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,

Nikolai Vladimirovich Luchkov, Federal Research-and-Production Center Joint Stock Company ‘Research-and- Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering and completed his postgraduate studies at the Department of Telecommunications of Ulyanovsk State Technical University; Senior Research Engineer of Federal Research-and-Production Center Joint Stock Company ‘Research-and- Production Association ‘Mars’; an author of articles in the field of statistic methods of signal processing. [e-mail: nik-lnv@mail.ru]N. Luchkov

Trajectory Processing on the Basis of Nonlinear Filtering 000_1.pdf

The issues of trajectory processing of radiolocation observations of air targets are considered. In order to provide trajectory processing, modelling of radiolocation targets primary marking with bearings, angles of sights, and sweeps was carried out. On the basis of them, the unified coordinate signals with maximum sharp spatial coordinates and minimum possibility of the marking group disintegration from one target to two or more number of groups were constructed. The multimodel Bayesian algorithms of simultaneous distinction of targets' (models') types and estimation of changing trajectory parameters are used for trajectory processing organization. The methodology of the pulse gate dimensioning for identifying observations and trajectories is described. Formation of the set of marks that will be used for detailing a trajectory and estimation of its parameters is carried out with the use of strobing operations and marks gathering. In case of the operations, selection of marks was hold. The marks can basically correspond to marks from the target with acquainted dynamic characteristics, which means that they can compound its trajectory. In this case, strobing is concerned with individual marks, and the marks strobed are gathered over a time frame. The mathematical models of state changing in the Cartesian system in case of observation in spherical coordinates and the corresponding equations of nonlinear vector estimation are considered. The software complex is developed and some results of mathematical modelling of trajectory processing are shown. Accordingly, the proposed methods and algorithms allow to realize the integrated approach to situation coverage of the theatre of military operations with the use of all means available. Also, the methods and algorithms can become the basis in development of protocols of the real-time integrated information and control space.

Radiolocation, statistical methods, trajectory processing, detection, distinction, estimation, nonlinear filter.

2017_ 1

Sections: Automated control systems

Subjects: Automated control systems.


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.


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.


Konstantin Konstantinovich Vasiliev, Ulyanovsk State Technical University, Doctor of Engineering, Professor; honoured worker in Science and Engineering of the Russian Federation; correspondent member of Tatarstan Academy of Sciences; graduated from the Faculty of Radioengineering and completed his post-graduation at the LETI; holds the Chair Telecommunications at Ulyanovsk State Technical University; author of monographs, textbooks and articles in the field of statistic synthesis and analysis of information systems [e-mail: vkk@ulstu.ru]K. Vasilyev,

Eduard Dmitrievich Pavlygin, Federal Research-and-Production Association Research-and-Production Association Mars, Candidate of Engineering; Deputy First Director General for Science at Federal Research-and-Production Association Research-and-Production Association Mars; author of articles in the field of statistic methods of signal processing [e-mail: mars@mv.ru]E. Pavlygin,

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

Alexander Nikolaevich Piftankin, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering; chief specialist at Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of publications in the field of statistic methods in signal processing [e-mail: mars@mv.ru]A. Piftankin,

Alexander Alexeevich Maslov, Federal Research-and-Production Center Research-and-Production Association Mars, chief designer at Federal Research-and-Production Center Research-and-Production Association Mars; author of articles in the field of statistic methods in signal processing [e-mail: mars@mv.ru]A. Maslov

Creation of Mobile Multi-position Radar System Based Oncommunications Channel Rtk-2 and Modern Methods of Radar Information Processing 30_5.pdf

The article presents an integrated approach to the creation of mobile multi-position radar system, considers algorithms of joint data processing, received from different information sources.

Radiolocation, statistic methods, common information space, detection, identification, evaluation, random field.

2012_ 4

Sections: Mathematical modeling, calculi of approximations and software systems

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


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; head of the Chair 'Telecommunications' at Ulyanovsk State Technical University; author of monographs, text-books and articles in the field of statistic synthesis and analysis of information systems. [e-mail: vkk@ulstu.ru]K. Vasilyev,

Nikolay Vladimirovich Luchkov, Federal Research-and-Production Сenter Open Joint-Stock Company 'Research-and-Production Association 'Mars', Post-graduate student at the Chair 'Telecommunications' of Ulyanovsk State Technical University; graduated from the Faculty of Radio-Engineering of Ulyanovsk State Technical University; research engineer at Federal Research-and-Production Сenter 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

Detection of Elongated Anomalies of Unknown Levels Against the Interfering-nuisance Background 26_1.pdf

The article gives a new structure of the quasi-optimal decision rule for detection of elongated signals of unknown values against the background of correlated nuisances. It also defines a decision region of random-field parameters enabling the use of the suggested algorithm of detection and pre-evaluation of wanted-signal level at a given profit in comparison with the detection algorithm with known values of wanted-signal levels.

Statistic methods, detection, elongated signals, random field.

2011_ 4

Sections: Mathematical modeling, calculus of approximations and software systems

Subjects: Mathematical modeling.


© FRPC JSC 'RPA 'Mars', 2009-2018 The web-site runs on Joomla!