Operational Capability Assessment Means of Optical-Electronic Intelligence of the Infrared Range

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Abstract

A methodological approach is proposed to improve the efficiency of assessing the capabilities of infrared reconnaissance tools, based on the use of graphoanalytic and automated algorithms, as well as the use of the values of the radiated area and maximum dimensions of objects averaged in the range of infrared reconnaissance of the values of the radiation coefficients of objects and typical backgrounds, object and background temperatures, atmospheric transmittance values, averaged over the range of operating wavelengths and implemented using graphs of the dependence of the probability of detection on the range at various fixed values of the coefficient of exploration conditions calculated in advance for the typed parameters of infrared reconnaissance facilities of various bases with acceptable accuracy. Recommendations have been developed to counteract the means of infrared reconnaissance in conditions of unsatisfactory intelligence availability.

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About the authors

A. V. Len’shin

Military Educational and Scientific Center of the Air Force “Air Force Academy named after Professor N. E. Zhukovsky and Yu. A. Gagarin” (VUNC VVS “VVA”)

Author for correspondence.
Email: lenshin@yandex.ru
ORCID iD: 0000-0001-7540-9351

Doctor of Technical Sciences, Professor of the Department

Russian Federation, Voronezh

E. V. Kravtsov

Military Educational and Scientific Center of the Air Force “Air Force Academy named after Professor N. E. Zhukovsky and Yu. A. Gagarin” (VUNC VVS “VVA”)

Email: andrey-lenshin@yandex.ru
ORCID iD: 0009-0009-5254-760X

Doctor of Technical Sciences, Associate Professor, Head of Department

 

Russian Federation, Voronezh

S. A. Sitnikov

Military Educational and Scientific Center of the Air Force “Air Force Academy named after Professor N. E. Zhukovsky and Yu. A. Gagarin” (VUNC VVS “VVA”)

Email: andrey-lenshin@yandex.ru

Student

Russian Federation, Voronezh

References

  1. Lenshin A. V. Airborne electronic warfare systems: textbook. – Voronezh: CPI «Scientific Book», 2023. 636 p. ISBN 978-5-4446-1796-0. (in Russ.).
  2. Tarasov V. V., Yakushenkov Yu. G. Infrared systems of the «looking» type. – M.: Logos, 2004. 444 p. ISBN 5-94010-372-8. (in Russ.).
  3. Wolf U. Handbook of infrared technology / Ed. U. Wolf, G. Cisis. In 4 tt. t. 3. Instrument base of IR systems. – M.: Mir, 1999. 472 p. ISBN 5-03-002926-5. (in Russ.).
  4. Menshakov Yu. K. Fundamentals of protection from technical intelligence. – M.: CPI “Mask”, 2017. 572 p. ISBN 978-5-9069-5518-0. (in Russ.).
  5. Menshakov Yu. K. Theoretical foundations of technical intelligence / Edited by Yu. N. Lavrukhin. – M.: Publishing House of Bauman Moscow State Technical University, 2008. 536 p. ISBN 978-5-7038-3019-2. (in Russ.).
  6. Menshakov Yu. K. Fundamentals of protection from technical intelligence / Under the general editorship of M. P. Sychev. – M.: Publishing House of Bauman Moscow State Technical University, 2011. 478 p. ISBN 978-5-7038-3382-7. (in Russ.).
  7. Lenshin A. V., Kravtsov E. V., Ryumshin R. I., Sidorenko I. A. Increasing the Assessment Efficiency of Television Reconnaissance Facilities. Photonics Russia. 2022; 16 (8): 624–633. doi: 10.22184/1993-7296.FRos.2022.16.8.624.633.
  8. Kravtsov E. V., Kupin I. V., Tatarintsev S. V., Ryumshin R. I. Certificate of state registration of a computer program. The program of operational assessment of optoelectronic intelligence capabilities / No. 2019614147 (RF); dated 01.04.2019. (in Russ.).
  9. Lenshin A. V., Kravtsov E. V. Functional method of generalized parameters for operational assessment of the capabilities of technical means of intelligence. Radio engineering and telecommunication systems. 2021; 43(3): 23–32. (in Russ.).

Supplementary files

Supplementary Files
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2. Fig. 1. Graphoanalytic algorithm for the operational assessment of the capabilities of ICR

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3. Fig. 2. Automated algorithm for assessing ICR capabilities for the case when the typification of the object and reconnaissance means is carried out

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4. Fig. 3. Automated algorithm for assessing ICR capabilities for the case when the typification of the object and reconnaissance means has not been carried out

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5. Fig. 4. Dependence of detection probability on range

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6. Fig. 5. Dependence of the probability of detection on the range at different reconnaissance situation coefficient values

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Copyright (c) 2023 Len’shin A.V., Kravtsov E.V., Sitnikov S.A.

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