ISSN 1991-2927
 

ACP № 3 (57) 2019

Building Maneuvering Targets Trajectories on the Basis of Splines and Kalman Filters

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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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.

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