ISSN 1991-2927
 

ACP № 2 (56) 2019

Keyword: "Estimation"

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.


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.


Aleksandr Ivanovich Moiseev, FRPC OJSC 'RPA 'Mars', Candidate of Engineering, graduated from the Dual Degree Faculty at Ulyanovsk State University; a lead programmer at FRPC OJSC 'RPA 'Mars'; is majoring in the field of design of special-purpose control systems; an author of papers, inventions and registered software systems in the field of research and building of special-purpose distributed control systems. [e-mail: mars@mv.ru]A. Moiseev,

Vladimir Viktorovich Kalnikov, FRPC OJSC 'RPA 'Mars', Candidate of Engineering, Associate Professor, graduated from the Radio-Engineering Faculty at Kiev Higher Military School of Communications named after M.I. Kalinin, finished his post-graduate studies of the same School; a chief specialist at FRPC OJSC 'RPA 'Mars'; his major is the design of special-purpose control systems; an author of papers, manuals and inventions in the field of design of special-purpose distributed control systems, communications and data-exchange systems. [e-mail: mars@mv.ru]V. Kalnikov

Analysis of the State of a Distributed Control System 35_2.pdf

Abstract The article examines an issue about how to estimate the current state of distributed control systems with the analytical models obtained as for indices of secrecy, information awareness and stability. When estimating the secrecy of control, the emission time and the amplitude of the signal of a give-away sign are taken into account. It is suggested to calculate the information awareness of operations posts with the weapons under their control using the entropic approach. The obtained results of the mathematical expression have the parameters for the required observation accuracy, errors, acquisition range, and the information update rate included. We have developed statistical and dynamic variants for such a characteristic of a distributed control system. It is suggested to analyze the control stability along with the estimation of survivability, reliability and noise-resistance of operations posts. The average number of data transmission paths, bandwidth ratio and its assignment evenness, the operations posts’ average load and its assignment evenness are chosen as the private parameters for the control survivability. A recurrent algorithm for the appropriate graph conversion and analysis is suggested to estimate the system reliability. The control noise-resistance is represented as a quantity derivative of the noise probability and the probability of an operation post to keep its performance ability.

State, distributed control systems, combat readiness, secrecy, information awareness, stability, estimation.

2014_ 1

Sections: Automated control systems

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


Sergey Alexanderovich Ageev, Military Communications Academy (St. Petersburg), Candidate of Engineering, Associate Professor, advanced doctoral student of the Military Communications Academy (St. Petersburg); graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; head of a scientific and technical centre of Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of telecommunications-system design; author of articles, patents in the field of data-transfer systems [e-mail: serg123@mail.ru]S. Ageev,

Igor Borisovich Saenko, St. Petersburg Institute for Informatics and Automation of the Russian Academy of sciences, Doctor of Engineering, Professor, graduated from the Military Communications Academy, completed his post-graduate and advanced doctoral programs at the same academy; leading staff scientist at St. Petersburg Institute for Informatics and Automation of the Russian Academy of sciences (St. Petersburg), specializes in the field of creation and development of information-management systems; author of monographs, articles and patents in this field [e-mail: ibsaen@mail.ru]I. Saenko,

Yury Petrovich Egorov, Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk), Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Leningrad Higher Marine School named after admiral S. Makarov; chief staff scientist at Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk); specializes in the field of macro-design of large-scale information-management systems; author of monographs, articles, patents in the field of design of computer-aided C2 systems for troop control [e-mail: yupe@mail.ru]Y. Egorov,

Evgeny Igorevich Zozulia, Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute, Post-graduate student of St. Petersburg National Research University of Information Technologies, Mechanics and Optics; graduated from St. Petersburg University ITMO, the Faculty of Information Technologies and Programming; head of Laboratory at Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of creation and development of large-scale information-management systems for troop control [e-mail: eugenezozulia@ gmail.com]E. Zozulia,

Anatoly Afanasyevich Gladkikh, Ulyanovsk State Technical University, Candidate of Engineering; Professor at the Telecommunications Chair of Ulyanovsk State Technical University; graduated from the Military Communications Academy named after S. Budenny; finished his post-graduate studies at the same academy; is interested in antinoise coding, adaptive management method; author of monographs articles, patents in this subject area [e-mail: a_gladfkikh@mail.ru]A. Gladkikh

Adaptive Algorithms of Traffic Intensity Estimation in Multiservice Networks 31_1.pdf

The article presents and researches adaptive algorithms of traffic intensity estimation in multiservice networks of data transmission. The traffic is interpreted as nonsteady random process of exponential class. The proposed algorithms operate in near-real-time mode and with quality that is comparable to potentially achievable one. The algorithms can be used for research and service control of multiservice networks of data transmission.

Multiservice network, telematics network services, control automation, stochastic approximation, adaptive management, trend, estimation, random process, adaptive algorithms, traffic intensity.

2013_ 1

Sections: System analysis, data management and processing

Subjects: Automated control systems, Information systems, Operational research.


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