Increasing of the accuracy of determining the coordinates of an aerial object in the two-position network of small-sized radars

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.289623

Keywords:

small-sized radar, coordinate determination accuracy, two-position network, error ellipse

Abstract

The object of research is the process of determining the coordinates of aerial objects by a small-sized radars. The main hypothesis of the study assumes that combining two small-sized radars into a network could improve the accuracy of determining the coordinates of aerial objects.

It was established that when determining the coordinates of an aerial object by a small-sized radars, the accuracy of determining the range is much better than the accuracy of determining the angular coordinate. To eliminate this shortcoming, a two-position network of small-sized radars and their error ellipses was considered. It is proposed to use the range-finding method in each small-sized radar station of the two-position network.

A method for determining the coordinates of aerial objects in a two-position network of small-sized radars has been improved, which, unlike known ones:

– enables a synchronous survey of the airspace by small-sized radars;

– measures the range to the aerial object by two small-sized radars;

– determines the coordinates of the aerial object by the joint processing of radar information from two small-sized radars.

The accuracy of determining the coordinates of aerial objects in a two-position network of small-sized radars was evaluated. The experimental evaluation was carried out by means of simulation using the method of Monte Carlo statistical tests. Working areas of the two-position network of small-sized radars were calculated. It was established that the two-position network of small-radars works only in the area formed by the intersections of the viewing areas of small-sized radars during their autonomous operation.

Author Biographies

Hennadii Khudov, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Technical Sciences, Professor, Head of Department

Department of Radar Troops Tactic

Andrii Berezhnyi, Ivan Kozhedub Kharkiv National Air Force University

PhD

Chief of the University

Oleksandr Oleksenko, Air Force Command of UA Armed Forces

PhD, Head of Department

Department of Scientific Research

Volodymyr Maliuha, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Military Sciences, Associate Professor, Head of Department

Department of Anti-Aircraft Missile Forces Tactic

Ivan Balyk, Scientific-Research Institute of Military Intelligence

PhD

Department of the First Management

Maksym Herda, Scientific-Research Institute of Military Intelligence

PhD, Leading Researcher

Scientific Research Department

Anatolii Sobora, State Scientific Research Institute of Armament and Military Equipment Testing and Certification

PhD, Leading Researcher

Department of Testing Armaments and Military (Special) Equipment

Yehor Bridnia, Institute of Military Law of Yaroslav Mudryi National Law University

Head of Department

Department of Combined Military Disciplines

Viacheslav Chepurnyi, Institute of Military Law of Yaroslav Mudryi National Law University

Lecturer

Department of Combined Military Disciplines

Valentina Gridina, Ivan Kozhedub Kharkiv National Air Force University

Senior Researcher

Department of Anti-Aircraft Missile Forces Tactic

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Increasing of the accuracy of determining the coordinates of an aerial object in the two-position network of small-sized radars

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Published

2023-10-31

How to Cite

Khudov, H., Berezhnyi, A., Oleksenko, O., Maliuha, V., Balyk, I., Herda, M., Sobora, A., Bridnia, Y., Chepurnyi, V., & Gridina, V. (2023). Increasing of the accuracy of determining the coordinates of an aerial object in the two-position network of small-sized radars. Eastern-European Journal of Enterprise Technologies, 5(9 (125), 6–13. https://doi.org/10.15587/1729-4061.2023.289623

Issue

Vol. 5 No. 9 (125) (2023): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2023 Hennadii Khudov, Andrii Berezhnyi, Oleksandr Oleksenko, Volodymyr Maliuha, Ivan Balyk, Maksym Herda, Anatolii Sobora, Yehor Bridnia, Viacheslav Chepurnyi, Valentina Gridina

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