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Journal Achievements of Modern Radioelectronics №4 for 2023 г.
Article in number:
Determination of the state of a space object in a multiposition information system based on the solution of the Radon problem
Type of article: scientific article
UDC: https://doi.org/10.18127/j5604128-202205-08
Authors:

V.V. Makarenkov1, V.V. Kakaev2, A.S. Stepenko3

1−3 A.F. Mozhaisky Military Space Academy (Saint Petersburg, Russia)
1–3 vka@mil.ru

Abstract:

The basis for solving the problem of determining the state of a space object using the Radon transform is the restoration of the image of the observed space body based on the obtained projection data. Usually, when making decisions, images of a space object are used. At the same time, in order to achieve the potential effectiveness of solving this problem, it is advisable to use projection data, since as a result of restoring an image from its image, due to the presence of various kinds of negative influences, the initial information about the observed space object is distorted. The choice in favor of images was due to the fact that although the projection data have the same dimension as the reconstructed image, their image is unusual for a person who is usually involved in the final decision. The continuing trend towards an increase in the number of newly observed space objects and the need to increase the efficiency of decision-making about their state in a complex background-target environment contributed to the development of methods for automatically determining the state. Therefore, consideration and study of the issue of automatic determination of the state of space objects from projection data in modern information systems is an urgent task. The target of article – solution of the problem of automatic determination of the state of a space object from projection data in a multi-position information system.

A solution to the problem of automatic determination of the state of a space object in a multi-position information system using projections of an observed space body (projection data) is proposed. It is shown that the use of projection data, in comparison with the case of using images of an observed cosmic body, makes it possible to increase the effectiveness of the problem under consideration. The gain is explained by the fact that when making a decision, the initial data are used before their preliminary processing, i.e. before obtaining images of a space object. The presence of distortions in the received initial data (the impact of white Gaussian noise, the uneven movement of a space object) with their subsequent preliminary processing leads to a decrease in the effectiveness of the problem under consideration. The use of projection data in a multi-position information system makes it possible to increase the probability of correctly determining the state of a space object, as well as to ensure noise-free data processing in difficult environmental conditions.

Pages: 29-36
For citation

Makarenkov V.V., Kakaev V.V., Stepenko A.S. Determination of the state of a space object in a multiposition information system based on the solution of the Radon problem. Electromagnetic waves and electronic systems. 2022. V. 27. № 5. P. 57−64. DOI: https://doi.org/10.18127/j15604128-202205-08 (in Russian)

References
  1. Shirman Ya.D. Radiolokatsiya i radiometriya. Radiolokatsionnoe raspoznavanie i metody matematicheskogo modelirovaniya. Vyp. 3. M.: Radiotekhnika. 2000. 96 s. (in Russian).
  2. Sokolov A.V. Ob’ekty radiolokatsii: Obnaruzhenie i raspoznavanie ob’ektov radiolokatsii. M.: Radiotekhnika. 2006. 176 s. (in Russian).
  3. Melvin W.L., Scheer J.A. Principles of Modern Radar: Advanced Techniques. New York: SciTech Publishing, IET, Edison. 2013. 846 p.
  4. Chernyak V.S. Mnogopozitsionnaya radiolokatsiya. M.: Radio i svyaz. 1993. 416 s. (in Russian).
  5. Troitskii I.N. Statisticheskaya teoriya tomografii. M.: Radio i svyaz. 1989. 240 s. (in Russian).
  6. Volosyuk V.K. Statisticheskaya teoriya radiotekhnicheskikh sistem distantsionnogo zondirovaniya i radiolokatsii. Pod red. V.F. Kravchenko. M.: FIZMATLIT. 2008. 704 s. (in Russian).
  7. Bachevskii A.S., Konovalov D.Yu., Labets V.V., Shatalov A.A., Shatalova V.A. Adaptivnyi algoritm raspoznavaniya signalov, prinimaemykh ot bystro fluktuiruyushchikh tselei i tselei s doplerovskim rasseyaniem pri nalichii pomekh. Trudy Voenno-kosmicheskoi akademii imeni A.F. Mozhaiskogo. 2017. № 656. S. 25–34 (in Russian).
  8. Pyatkov V.V., Chebotar I.V., Gudaev R.A., Kulikov S.V., Fattakhov R.R. Model funktsionirovaniya optiko-elektronnogo informatsionnogo sredstva obnaruzheniya kosmicheskogo musora. Informatsionno-izmeritelnye i upravlyayushchie sistemy. 2021. T. 19. № 4. S. 5–13 (in Russian).
Date of receipt: 09.08.2022
Approved after review: 23.08.2022
Accepted for publication: 22.09.2022