Synthesis and investigation of filtering algorithms used in the secondary processing of radar information

Authors: Zinova V.V.
Published in issue: #8(25)/2018
DOI: 10.18698/2541-8009-2018-8-361
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics
Keywords: classic Kalman filter, alpha-beta filter, advanced Kalman filter, secondary processing, filtering algorithm, trajectory processing, dynamic system, simulation modeling, criterion of optimality, motion mode
Published: 09.08.2018

The article provides a brief overview of the filtering algorithms used in the secondary processing of radar information in radar systems. To do this, simulation is performed, consisting of two stages. At the first stage, the mathematical model of the aircraft is built, and on the second stage, an experiment is carried out. During the experiment, three filtering algorithms are synthesized: the classic Kalman filter, the advanced Kalman filter, and the alpha-beta filter. The relationship between them and the principal differences is established. In the end, the conclusions in the form of recommendations on the feasibility and appropriateness of the application of the listed filtering algorithms in various air conditions are made.

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