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Journal Radioengineering №4 for 2022 г.
Article in number:
Method of object class recognition based on the analysis of reflective characteristics
DOI: https://doi.org/10.18127/j00338486-202204-14
UDC: 621.371
Authors:

V.D. Liferenko1, V.O. Korolev2, V.N. Aldohina3

1-3 Military Space Academy named after A.F. Mozhaisky (St. Petersburg, Russia)

1 vadimaj@jmail.com

Abstract:

Formulation of the problem. The quality of functioning of radiotehnic sistem (RTS) facilities is largely determined by the degree of use of information received from the location object. Obtaining new features of object recognition sets the task of developing a method for recognizing an object class based on the analysis of the obtained characteristics.

Purpose. In the interests of improving the quality of the functioning of radar stations, we propose a method for recognizing the class of an object based on the analysis of the obtained characteristics.

Results. The technique of constructing a two-dimensional radio image of an object is considered. It is shown that the quality of a two-dimensional radio image is determined by the number of responses of individual local scattering centers (LSC), which in turn depend on the parameters of the probing signal, in particular, it is quite problematic to technically implement frequency deviation within significant limits. A variant of the solution of this problem is proposed – the use of frequency-manipulated coherent signals with a stepwise law of frequency change. A variant of the implementation of the object class recognition technique based on a set of informative features is presented.

Practical significance. The technique can be used to develop algorithms for recognizing objects based on the analysis of the obtained reflective characteristics.

Pages: 110-116
For citation

Liferenko V.D., Korolev V.O., Aldohina V.N. Method of object class recognition based on the analysis of reflective characteristics.
Radiotekhnika. 2022. V. 86. № 4. P. 110−116. DOI: https://doi.org/10.18127/j00338486-202204-14 (In Russian)

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Date of receipt: 25.01.2022
Approved after review: 17.02.2022
Accepted for publication: 04.04.2022