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 postgraduate 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. [email: vkk@ulstu.ru]K. Vasiliev, Eduard Dmitrievich Pavlygin, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering at Ulyanovsk Polytechnic Institute; First Deputy Director General for Scientific Affairs at Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’; an author of articles in the field of statistical methods for signal processing. [email: mars@mv.ru]E. Pavlygin, Aleksandr Sergeevich Gutorov, Federal ResearchandProduction Center JointStock Company ‘ResearchandProduction Association ‘Mars’, graduated from the Faculty of Radioengineering at Ulyanovsk State Technical University; a postgraduate student of Ulyanovsk State Technical University, Chief Designer at Federal ResearchandProduction Center JointStock Company ‘ResearchandProduction Association ‘Mars’; an author of articles in the field of statistical methods of signal processing. [email: gutorov_as@mail.ru]l. Gutorov


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

