Enhancement of the measurement method for the radar cross section of unmanned aerial vehicles in the x-band under anechoic chamber conditions

Authors

DOI:

https://doi.org/10.15587/2706-5448.2026.353043

Keywords:

unmanned aerial vehicle (UAV), radar cross section (RCS), effective scattering surface, backscatter pattern measurement, anechoic chamber

Abstract

The object of research is the process of measuring the effective scattering surface of an unmanned aerial vehicle (UAV) in the X-band of electromagnetic waves in an anechoic chamber. The problem being solved is to obtain reliable initial data for assessing the radar visibility and probability of detecting UAVs based on their backscatter diagrams. The aim of research is to improve the method of measuring the effective scattering surface (ESS) of UAV components in the X-band in an anechoic chamber and its experimental testing. As a result of the research, a technology for measuring the angular dependence of the ESS in the X-band was formed, which includes compensation of the background signal, calibration of the measuring equipment, ESS determination of the object and automation of the measurement process. The technology includes the design of the anechoic chamber, the structure of the measuring stand, the method of compensation of the background reflection, measurement of the reflected signal power, calibration of the measuring equipment, ESS calculation. The conducted field experiments allowed to obtain the characteristics of the secondary scattering of UAV components in the angle sector ±45°, while the measurement error of static reference objects did not exceed ±1 dB. Comparison of experimental results with the data of mathematical modeling based on integral equations and the physical theory of diffraction confirmed the reliability of the improved approach. The obtained results can be used to increase the accuracy of assessing the radar visibility of small-sized UAVs and improve the means of their detection.

Author Biographies

Anatoliy Popov, National Aerospace University “Kharkiv Aviation Institute”

Doctor of Technical Sciences, Associate Professor

Department of Aerospace Radioelectronic Systems

Iurii Vorobiov, National Aerospace University “Kharkiv Aviation Institute”

Doctor of Technical Sciences, Professor

Department of Aircraft Manufacturing Technology

Kateryna Maiorova, National Aerospace University “Kharkiv Aviation Institute”

PhD, Associate Professor

Department of Aircraft Manufacturing Technologies

Mariya Bortsova, Ivan Kozhedub Kharkiv National Air Force University

Air Force Research Center

References

  1. Zhuk, S., Bilorus, A., Bomberher, V., Lukovskiy, I. (2025). Use of unmanned systems in modern military operations: analysis of efficiency and risks. Collection of Scientific Works of the National Academy of the State Border Guard Service of Ukraine. Series: Military and Technical Sciences, 99 (2), 4–14. https://doi.org/10.32453/3.v99i2.1882
  2. Vorobiov, Yu., Maiorova, K., Popov, A., Diachenko, Yu., Bezkorovainyi, V. (2025). Development of an ontological decision support system for selection of aircraft-type unmanned aerial vehicles. Science and technology today, 11 (52), 1944–1961. https://doi.org/10.52058/2786-6025-2025-11(52)-1944-1961
  3. Kovalov, K. (2025). UAVs in the reconnaissance and fire control system: current status and prospects. International scientific journal «Grail of Science», 55, 339–345. https://doi.org/10.36074/grail-of-science.22.08.2025.039
  4. Bezpilotni systemy ta REB: pidsumky ta dosiahnennia sichnia 2025 roku. Zbroini Syly Ukrainy. Available at: https://www.zsu.gov.ua/news/bezpilotni-systemy-ta-reb-pidsumky-ta-dosyagnennya-sichnya-2025-roku
  5. Vorobiov, I., Maiorova, K., Sosunov, A. (2026). Methodology for assessing the economic efficiency of using an ontology-based decision support system for selecting aircraft-type unmanned aerial vehicles. Aerospace Technic and Technology, 1, 84–94. https://doi.org/10.32620/aktt.2026.1.08
  6. Jenn, D. C. (2024). Radar Cross Section. Encyclopedia of RF and Microwave Engineering, 1–43. https://doi.org/10.1002/0471654507.erfme058
  7. Shevchenko, S. (2025). An improved methodology for determining unmanned aerial vehicles radar visibility characteristics in a model experiment. Scientific Works of Kharkiv National Air Force University, 4 (82), 72–82. https://doi.org/10.30748/zhups.2024.82.09
  8. Knott, E. F. (1993). Radar Cross Section Measurements. New York: Springer. https://doi.org/10.1007/978-1-4684-9904-9
  9. Ezuma, M., Anjinappa, C. K., Semkin, V., Guvenc, I. (2022). Comparative Analysis of Radar-Cross-Section- Based UAV Recognition Techniques. IEEE Sensors Journal, 22 (18), 17932–17949. https://doi.org/10.1109/jsen.2022.3194527
  10. Sukharevsky, O., Zalevsky, G., Vasilets, V., Galkin, Y., Horielyshev, S., Sadovyi, K. (2021). Radar scattering characteristics of tactical unmanned aerial vehicle in VHF, S and X frequency bands. Science and Technology of the Air Force of Ukraine,, 4 (45), 82–92. https://doi.org/10.30748/nitps.2021.45.10
  11. Surhai, M. V., Zalevskyi, H. S., Vasylets, V. O., Sukharevskyi, O. I. (2017). Otsiniuvannia rivnia radiolokatsiinoi pomitnosti snariadu raketnoi systemy zalpovoho vohniu «Hrad» u riznykh diapazonakh dovzhyn khvyl. Zbirnyk naukovykh prats Kharkivskoho natsionalnoho universytetu Povitrianykh Syl, 2 (51), 142–148. Available at: http://nbuv.gov.ua/UJRN/ZKhUPS_2017_2_30
  12. Liu, J., Yinchai, W., Wei, F., Han, Q., Tao, Y., Zhao, L. et al. (2023). Secure Cloud-Aided Approximate Nearest Neighbor Search on High-Dimensional Data. IEEE Access, 11, 109027–109037. https://doi.org/10.1109/access.2023.3321457
  13. Hemming, L. H. (2002). Anechoic Chamber Design Techniques. Electromagnetic Anechoic Chambers. Wiley-IEEE Press, 57–72. https://doi.org/10.1109/9780470544501.ch5
  14. Popov, A., Kalimullin, D. (2020). Automatization of Antenna Measurements in the Anechoic Chamber. 2020 IEEE Ukrainian Microwave Week (UkrMW). Kharkiv: IEEE, 183–186. https://doi.org/10.1109/ukrmw49653.2020.9252594
  15. Sukharevsky, O. I. (2018). Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. CRC Press, 334. https://doi.org/10.1201/9781315214511
  16. Zalevsky, G. S., Sukharevsky, O. I., Vasylets, V. A. (2021). Integral equation modelling of unmanned aerial vehicle radar scattering characteristics in VHF to S frequency bands. IET Microwaves, Antennas & Propagation, 15 (10), 1299–1309. Portico. https://doi.org/10.1049/mia2.12164
  17. Ufimtsev, P. Y. (2014). Fundamentals of the physical theory of diffraction. Wiley-IEEE Press, 496. Available at: https://download.e-bookshelf.de/download/0002/4020/78/L-G-0002402078-0003467319.pdf
  18. Panwar, R., Puthucheri, S., Singh, D. (2018). Experimental Demonstration of Novel Hybrid Microwave Absorbing Coatings Using Particle-Size-Controlled Hard–Soft Ferrite. IEEE Transactions on Magnetics, 54 (11), 1–5. https://doi.org/10.1109/tmag.2018.2828782
  19. Zhao, H., Chen, J., Zhuang, M., Yang, X., Zhuo, J. (2024). A Novel Radar Cross-Section Calculation Method Based on the Combination of the Spectral Element Method and the Integral Method. Symmetry, 16 (5), 542. https://doi.org/10.3390/sym16050542
Enhancement of the measurement method for the radar cross section of unmanned aerial vehicles in the x-band under anechoic chamber conditions

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Published

2026-02-28

How to Cite

Popov, A., Vorobiov, I. ., Maiorova, K., & Bortsova, M. (2026). Enhancement of the measurement method for the radar cross section of unmanned aerial vehicles in the x-band under anechoic chamber conditions. Technology Audit and Production Reserves, 1(1(87), 15–22. https://doi.org/10.15587/2706-5448.2026.353043

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Mechanical Engineering Technology