350 rub
Journal Achievements of Modern Radioelectronics №9 for 2025 г.
Article in number:
A mathematical model of the process of determining the type of a space object based on radar non-coordinate information using a neural network approach
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700784-202509-07
UDC: 621.371.332.4
Authors:

V.V. Fedonin1, V.D. Liferenko2, V.N. Aldokhina3

1–3 Mozhaisky Military Space Academy (St. Petersburg, Russia)
1 vac9feonin@yandex.ru

Abstract:

In the light of the intensive activities of various countries, international and commercial organizations in near-Earth outer space (NOS), there is a continuous increase in the number of space objects (SO), the main part of which is "space debris" – these are elements of launching rocket and space technology, spent artificial Earth satellites (ISS), as well as fragments of their destruction, remaining on near-Earth or-bits. A significant part of such objects are located in the low-orbit area of the NOS, creating prerequisites for collisions in space that can cause damage to the target orbital space assets. In these circumstances, conducting effective monitoring of space objects in order to prevent disasters is a key task of the Automated Warning System for Dangerous Situations in Near-Earth Space (ASPOS NOS) of the state Corporation Ros–Kosmos. Improving the quality and reducing time in the field of determining the type of SO, assessing its purpose and condition, as well as the alleged threat to the nearest satellite based on information obtained using radar facilities that provide the highest throughput and continuity of monitoring of the NOS, in the current situation is impossible without the use of effective tools that allow classifying the type of SO in automatic mode realization of reflected radar signals from objects that are complex in design and change their position.

Goal – to form a mathematical model of the process of determining the type of SO based on radar non-coordinate information (NCI) based on the application of a neural network model in an appropriate information processing technique

The external and internal factors of the process of determining the type of SO by radar equipment, which affect its functioning, are considered, and a mathematical model of this process is proposed based on the analysis of radar measurements obtained by means of ASPOS NOS.

The presented mathematical model will make it possible to form a neural network model according to the type of radar signature classifier and implement on its basis a methodology for determining the type of SO by radar NKI, which will greatly assist specialists in information processing and disaster prevention in the NOS.

Pages: 49-58
For citation

Fedonin V.V., Liferenko V.D., Aldokhina V.N. A mathematical model of the process of determining the type of a space object based on radar non-coordinate information using a neural network approach. Achievements of modern radioelectronics. 2025. V. 79. № 9. P. 49–58. DOI: https://doi.org/10.18127/ j20700784-202509-07 [in Russian]

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Date of receipt: 18.03.2025
Approved after review: 02.04.2025
Accepted for publication: 29.08.2025