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Method for Remote Assessment of Planar Layered Media by Polarization Backscattering Relations

https://doi.org/10.32603/1993-8985-2026-29-2-49-63

Abstract

Introduction. The safety of conducting activities on the snow and ice cover of a reservoir depends directly on the accuracy of its condition assessment. This is particularly important when landing a helicopter on unequipped and unexplored snow covered areas or frozen water bodies for transporting goods and people, evacuating victims, or conducting search and rescue operations. The ability to remotely assess the characteristics of snow and ice layers and reconstruct their structure makes it possible to conclude whether the selected site is suitable for helicopter landing or whether an alternative site, which meets the necessary requirements, should be selected. Ultimately, this determines the safety of aircraft landing.
Aim. Development of a non invasive method for assessing planar layered media based on polarization relationships of backscattering signals with vertical and horizontal polarizations within a helicopter mounted subsurface sensing radar system.
Materials and methods. The Engee platform and the Julia programming language were used to simulate the operation of a radar system for subsurface sensing.
Results. An innovative method for remote assessment of the characteristics of planar layered media is proposed. The approach is based on analyzing the polarization properties of backscattered signals from the interfaces of layers within a planar layered medium, using both vertical and horizontal polarizations. Specific ranges of polarization backscattering ratios that correlate with varying densities of snow and ice layers at particular incidence angles are identified.
Conclusion. The proposed non invasive method for analyzing planar layered media based on polarization characteristics of backscattered radio signals opens up new possibilities for the assessment of snow and ice cover. This approach makes it possible to evaluate unprepared and unexplored snow covered sites, as well as reservoirs covered with snow and ice, for helicopter landing. A distinctive feature of the proposed method lies in its ability to detect and characterize all layers within a multilayer environment, compared to existing methods that are limited to analyzing exclusively the near surface layer.

About the Authors

V. G. Mashkov
Military Educational-Research Centre Air Force "Air Force Academy named after professor N. E. Zhukovsky and Yu. A. Gagarin"
Russian Federation

Viktor G. Mashkov, Dr Sci. (Eng.) (2023), Associate Professor (2017), Associate Professor of the Department of Operation radio equipment (flight support). The author of 360 scientific publica-tions. Area of expertise: subsurface radar and radio vision.

54А, Starykh Bolshevikov St., Voronezh 394064



A. E. Milyah
Military Educational-Research Centre Air Force "Air Force Academy named after professor N. E. Zhukovsky and Yu. A. Gagarin"
Russian Federation

Aleksandr E. Milyah, Engineer of Special Radio Engineering Systems (2018, Military Educational-Research Center "Air Force of Air Force Academy n. a. Professor N. E. Zhukovsky and Y. A. Gagarin"), adjunct of the Department of Operation radio equipment (flight support). The author of 14 scientific publications. Area of expertise: subsurface radar and radio vision.

54А, Starykh Bolshevikov St., Voronezh 394064



V. I. Ryabev
Military Educational-Research Centre Air Force "Air Force Academy named after professor N. E. Zhukovsky and Yu. A. Gagarin"
Russian Federation

Viktor I. Ryabev, Engineer of Automated Control Systems (2012, Marshal of the Soviet Union G. K. Zhukov Military Academy of Aerospace Defense), adjunct of the Department of Operation radio equipment (flight support). The author of 28 scientific publications. Area of expertise: subsurface radar and radio vision.

54А, Starykh Bolshevikov St., Voronezh 394064



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Review

For citations:


Mashkov V.G., Milyah A.E., Ryabev V.I. Method for Remote Assessment of Planar Layered Media by Polarization Backscattering Relations. Journal of the Russian Universities. Radioelectronics. 2026;29(2):49-63. (In Russ.) https://doi.org/10.32603/1993-8985-2026-29-2-49-63

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ISSN 1993-8985 (Print)
ISSN 2658-4794 (Online)