An approach to optimizing the reliability of radar measurement control using interval estimation and confidence probability
- Authors: Panteleev G.D.1, Korzhenevsky S.S.1, Kupriyanov N.A.2
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Affiliations:
- Military Space Academy named after A. F. Mozhaisky
- Krasnodar Higher Military Aviation School of Pilots
- Issue: No 3 (2024)
- Pages: 6-14
- Section: Telecommunication and radio engineering
- URL: https://journal-vniispk.ru/2306-2819/article/view/276325
- DOI: https://doi.org/10.25686/2306-2819.2024.3.6
- EDN: https://elibrary.ru/WOCONM
- ID: 276325
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Abstract
Relevance. The effectiveness of a radar system depends on both the system's inherent reliability and the accuracy of its output measurements. When checking the reliability of measurements, it's challenging to define specific numerical values for false alarm rates and the omission of unreliable measurements, since it is difficult to compare the effect of omitting an unacceptable measurement error with the costs associated with addressing the consequences caused by a false alarm.
Goal. The indicated problem necessitates further research into ways of improving methods for monitoring the reliability of radar measurements. In response, the authors propose an approach for optimizing radar measurement reliability control based on interval estimation using confidence probability.
Materials and methods. The proposed approach addresses the identified issue by assuming that the impact of both false alarms and unacceptable errors is essentially the same, as both result in reduced accuracy of radar measurements. In the case of a false alarm, the cost is defined by the corrective action taken by the radar tracking system, which introduces a compensatory value proportional to the unreliable measurement. This allows us to treat the cost of the error as the weighted average variance between the unreliable measurement and the compensatory value.
Results. To validate the effectiveness of the proposed approach, simulation modeling was conducted to analyze the joint probability density of radar measurements and interfering influences with varying intensities, up to their maximum. The modeling considered the full range of potential unreliable measurements in the radar system, as well as boundary noise dispersion (based on the simulation results) and the measurement reliability used in technical system calculations.
Conclusions. The findings showed that constructing confidence intervals of a specified size to ensure the required reliability of radar measurements can be reduced to finding the extremum of a specific functional, subject to certain constraints.
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About the authors
Georgy D. Panteleev
Military Space Academy named after A. F. Mozhaisky
Email: sektor-ussr@rambler.ru
SPIN-code: 2135-3061
Associate Professor, Lecturer at the Department of Space Radar and Radio Navigation. Research interests – radar systems, radio navigation systems and complexes, information and measurement systems. The author of 46 scientific publications.
Russian Federation, 13, Zhdanovskaya st., St. Petersburg, 197198Sergey S. Korzhenevsky
Military Space Academy named after A. F. Mozhaisky
Email: sektor-ussr@rambler.ru
SPIN-code: 4692-1788
Lecturer at the Department of Space Radar and Radio Navigation. Research interests – radio engineering systems, the influence of the radio wave propagation environment, information measuring and control systems. The author of 27 scientific publications.
Russian Federation, 13, Zhdanovskaya st., St. Petersburg, 197198Nikolay A. Kupriyanov
Krasnodar Higher Military Aviation School of Pilots
Author for correspondence.
Email: sektor-ussr@rambler.ru
ORCID iD: 0000-0001-5368-2795
SPIN-code: 1989-6511
Candidate of Technical Sciences, Associate Professor at the Department of Design and Operation of Aviation Technology (Fighter Aviation). Research interests – radio engineering systems, the influence of the medium of radio wave propagation, information measuring and control systems, trajectory processing. The author of 89 scientific publications.
Russian Federation, 135, Dzerzhinskiy st., Krasnodar-5, 350090References
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