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Identification and suppression of signals of the rear lobe of the radiation pattern of the radar antenna

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Parent Category: 2024

Category: Content №3 2024

Created on 28 June 2024

Last Updated on 28 June 2024

Published on 30 November -0001

Written by B. Imansakipova, I. Vassilyev, Sh. Aitkazinova, M. Kalipanov, K. Issabayev

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Authors:

B.Imansakipova*, orcid.org/0000-0003-0658-2112, Satbayev University, Almaty, Republic of Kazakhstan, e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

I.Vassilyev, orcid.org/0000-0002-6216-0443, Special Design and Technology Bureau “Granit”, Almaty, Republic of Kazakhstan, e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

Sh.Aitkazinova, orcid.org/0000-0002-0964-3008, Satbayev University, Almaty, Republic of Kazakhstan,  e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

M.Kalipanov, orcid.org/0000-0003-2974-1083,  Institute of Machine Science and Automation of the National Academy of Sciences of Kyrgyz Republic, Bishkek, Kyrgyz Republic, e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

K.Issabayev, orcid.org/0000-0001-5183-3668,  Institute of Machine Science and Automation of the National Academy of Sciences of Kyrgyz Republic, Bishkek, Kyrgyz Republic,  e-mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (3): 157 - 162

https://doi.org/10.33271/nvngu/2024-3/157

Abstract:

Purpose. Development of a new approach to improving the accuracy of orientation based on radar reflections from local objects and a digital terrain model.

Methodology. The research is based on the theory of radiation, reflection and reception of radar signals. Statistical analysis of a large volume of recorded signals establishes causal relationships between the appearance of “false” reflections formed by the back lobe of the radiation pattern and to develop a computational algorithm for their suppression.

Findings. A method and software that allows detecting and suppressing “false” reflections formed by the rear lobe of the antenna pattern without distorting the reflections created by the main lobe. For this purpose, a criterion has been developed, determined by the ratio of the amplitude of the signal received by the front lobe to the amplitude of the signal recorded by the rear lobe. The criterion allows eliminating the “false” signals without having a priori information about the real radiation pattern using a regulator for the reduction of phantom reflections to an average noise level.

Originality. For the first time, suppression has been carried out of “false” reflections without having a priori information about the real radiation pattern of the radar station antenna, as well as elimination of the loss of informativeness of the real reflection formed by the main lobe.

Practical value. A method is suggested of radar immunity of radar stations is noise immunity due to “false” reflections. The potential of the method and the capabilities of the developed computer program determines the relevance of their capabilities for use by all radar stations at various frequencies, azimuths, ranges and terrain features.

Keywords: radar, directional pattern, rear lobe, “false” landmark, digital terrain model

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