Моделирование процессов восстановления радиолокационных изображений
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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
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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.

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). URL: https://moitvivt.ru/ru/journal/pdf?id=1399 DOI: 10.26102/2310-6018/2023.43.4.008 (In Russ).

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Received 16.06.2023

Revised 12.09.2023

Accepted 26.10.2023

Published 31.12.2023