L.F. Voskovskaya - Leading System Analyst, OJSC «AGAT-control systems» - Managing Company of the Holding «Geoinformation control systems», Minsk, Republic of Belarus M. L. Grishchenkov - Head of sector, OJSC «AGAT-control systems» - Managing Company of the Holding «Geoinformation control systems», Minsk, Republic of Belarus V.A. Korolenko - Deputy Director of Science, OJSC «AGAT-control systems» - Managing Company of the Holding «Geoinformation control systems», Minsk, Republic of Belarus

This article analyzes the use of common Kalman filter for smoothing the coordinates of targets and study the possibility of using other filters to ensure acceptable performance with a limited amount of data and time to make a decision. It is shown that in the real world application of Kalman filters often ineffective due to lack of a priori about the purpose of the data. At the same time there are a number of filters that implement the method of least squares (OLS), in which the inputs for the purposes of providing a wide range of currently available radar. The subject of the research in this article is the OLS filter, in which Chebyshev polynomials applied. To filter the results of this research and the implementation of the algorithm, recommendations for use. Analysis of the results showed that OLS filters using Chebyshev polynomials provide overall better quality of filtering trajec-tory parameters for a limited amount of information about the objectives and lack of time to make decisions, are well adapted to the varying probability-accuracy characteristics of radar, to the conditions of co-measurement coordinate measurement errors and move the purposes of the review to the review, the presence of outliers and irregular update. As a result, it provided good stability and continuity of support aerodynamic purposes trajectories in real-world conditions in a wide fleet of radar and provide consumers with quality information to monitor the traffic situation.

 

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