Моделирование процессов восстановления радиолокационных изображений
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Simulation of radar image recovery processes

idAvetisyan T.V. Pitolin M.V.   Preobrazhenskiy Y.P.  

UDC 621.396.96:004.932.2
DOI: 10.26102/2310-6018/2023.43.4.008

  • Abstract
  • List of references
  • About authors

When receiving images of ground or air objects in active or passive location systems based on millimeter-wave radar stations, sequential scanning of the viewing area is carried out. After passing the primary processing path, the received signals are translated into the corresponding radio images. An increase in the resolution of the radar image is achieved by means of its algorithmic processing with the involvement of optimal methods for solving the inverse problem of image restoration. In this paper, the object is considered as a set of independent sources. Restoration of the amplitude and phase of such sources is analyzed. The scheme of information processing in the information system is given. The conditions under which it is possible to restore the phase in the radar image are determined. An image recovery algorithm is presented. In the algorithm, the correlation integral, which includes two indices, shows what relationship exists between the energy characteristics of local sources and their coordinates. The results of restoring several sources with the specified initial data are shown. In addition, the results are presented when there is one index in the correlation integral; in that case, the image is restored to one of the axes. The results of the research can be used in the restoration of various radio images.

1. Suvorov A.O. Spectral analysis of the signal reflected by an aerodynamic target. Vestnik Permskogo nacional'nogo issledovatel'skogo politekhnicheskogo universiteta. Elektrotekhnika, informacionnye tekhnologii, sistemy upravleniya. = Bulletin of Perm National Research Polytechnic University. Electrical engineering, information technology, control systems. 2018;25:74–89. (In Russ.).

2. Odinenko N.M., Kakaev V.V., Aluev S.V. The use of fast Fourier transforms and adaptive weighting algorithms in radar signal processing. Informacionno-upravlyayushchie sistemy = Information and control systems. 2011;6:16–18. (In Russ.).

3. Ershov G.A., Perelomov V.N., Myasnikov S.A. et al. Methods of signal processing in coherent pulse radar stations. Moscow, SIC ART; 2016. 200 p. (In Russ.).

4. Parshutkin A.V., Levin D.V., Galandzovsky A.V. Simulation model of radar information processing in a network of radar stations in conditions of signal-like interference. Informacionno-upravlyayushchie sistemy = Information and control systems. 2019;6:22–31. (In Russ.).

5. Kozlov S.V., Wu Thanh Ha. Estimation of angular coordinates in survey radar stations with subsystems of spatial interference compensation. Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki = Reports of the Belarusian State University of Informatics and Radioelectronics. 2019;122(4):48–56. (In Russ.).

6. Dostovalova A.M. Modeling of locally homogeneous radar images using various statistical criteria. Matematicheskoe modelirovanie i chislennye metody = Mathematical modeling and numerical methods. 2021;32(4):103–120. (In Russ.).

7. Loskutnikova A.V., Chalova E.G. Fractal processing of radar images. Sbornik izbrannyh statej nauchnoj sessii TUSUR = Collection of selected articles of the scientific session TUSUR. 2022;1-2:190–192. (In Russ.).

8. Gavrilov D.A., Lekontsev D.A. Calculation of object detection characteristics on the radar image. SPbNTORES: trudy ezhegodnoj NTK = SPbNTORES: Proceedings of the annual STC. 2020;75(1):59–61. (In Russ.).

9. Shibarova I.G. Detection of objects on radar images. SPbNTORES: trudy ezhegodnoj NTK = SPbNTORES: Proceedings of the annual STC. 2019;74(1):74–77. (In Russ.).

10. Kostrov B.V., Grinchenko N.N., Vyugina A.A., Baranova S.N. Parallel computations in problems of reconstruction of distorted images in spatial-spectral form. Proceedings of the Institute for System Programming of the RAS. 2023;35(2):157–168.

Avetisyan Tatiana Vladimirovna

ORCID | eLibrary |

College of Voronezh Institute of High Technologies

Voronezh, the Russian Federation

Pitolin Mikhail Vladimirovich
Candidate of Technical Sciences, Associate Professor

Voronezh Institute of the Ministry of Internal Affairs

Voronezh, the Russian Federation

Preobrazhenskiy Yuri Petrovich
Candidate of Technical Sciences

Voronezh Institute of High Technologies

Voronezh, the Russian Federation

Keywords: modeling, image restoration, radio wave scattering, electrodynamics, radar

For citation: Avetisyan T.V. Pitolin M.V. Preobrazhenskiy Y.P. Simulation of radar image recovery processes. Modeling, Optimization and Information Technology. 2023;11(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=1399 DOI: 10.26102/2310-6018/2023.43.4.008 (In Russ).

178

Full text in PDF

Received 16.06.2023

Revised 12.09.2023

Accepted 26.10.2023

Published 26.10.2023