Analysis of Superresolution Methods in the Application to the Subsurface Sounding Radar for Detecting Hidden Objects
https://doi.org/10.35596/1729-7648-2024-22-3-61-68
Abstract
Adaptive methods have been developed for generating a radar image of a probed surface area. A block diagram of a subsurface sounding radar is described. The results of modeling and experimental studies are presented. Their use makes it possible to develop a subsurface sensing radar capable of effectively identifying hidden objects in concrete walls, as well as detecting cracks, voids and defects in the walls of buildings and structures, snow debris and avalanches, underground communications and organic bodies in the ground.
About the Authors
A. V. Grinkevich
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Grinkevich Anton Vitalievich, Cand. of Sci., Associate Professor, Associate Professor at the Department of Information Radiotechnologies
220013, Minsk, P. Brovki St., 6
Tel.: +375 17 293-20-86
V. V. Ivanets
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Master’s Student
220013, Minsk, P. Brovki St., 6
M. S. Orabei
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Master’s Student
220013, Minsk, P. Brovki St., 6
A. A. Denis
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Postgraduate
220013, Minsk, P. Brovki St., 6
References
1. Grinev A. Yu. (2005) Issues of Subsurface Radar . Moscow, Radio Engineering Publ. (in Russian).
2. Finkelshtein M. I., Karpukhin V. I., Kuteev V. A., Metelkin V. N. (1994) Subsurface Radar. Moscow, Radio i Svyaz Publ. (in Russian).
3. Bryakin I. V., Bochkarev I. V. (2021) Methods of Subsurface Sounding and Development of a Device for Localization of Hidden Objects. Instrumentation and Automation: Maintenance and Repair . (6) (in Russian).
4. Kakora V. A., Grinkevich A. V. (2018) Combined Method of Spectral Estimation when Receiving of Superpermissions on Frequency. Doklady BGUIR. (8), 63–70 (in Russian).
5. Kakora V. A., Grinkevich A. V. (2017) Mathematical Analysis of Spectral Estimation Algorithms Resolution. Doklady BGUIR. (3), 20–24 (in Russian).
6. Ermolaev V. T., Flaksman A. G. (2007) Methods for Estimating the Parameters of Signal Sources and Noise Received by an Antenna Array. Nizhny Novgorod (in Russian).
7. Marple-Jr. S. L. (1990) Digital Spectral Analysis and its Applications. Moscow, Mir Publ. (in Russian).
Review
For citations:
Grinkevich A.V., Ivanets V.V., Orabei M.S., Denis A.A. Analysis of Superresolution Methods in the Application to the Subsurface Sounding Radar for Detecting Hidden Objects. Doklady BGUIR. 2024;22(3):61-68. (In Russ.) https://doi.org/10.35596/1729-7648-2024-22-3-61-68
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