Methodology for ensuring interference-resistant control of robotic
- 1,2,3,4 FSBEI of HE “Voronezh State Technical University” (Voronezh, Russia)
Abstract
Problem Statement. When operating robotic vehicles in dynamically changing electromagnetic environments, control channel quality may deteriorate, resulting in a reduced signal-to-noise ratio, an increased probability of packet erroneous reception, and increased data transmission delays. This necessitates the development of a methodology that enables adaptive reconfiguration of radio channel parameters, taking into account the current state of the propagation environment.
Purpose. To develop a methodology for ensuring noise-immune control of robotic platforms.
Results. A methodology for ensuring noise-immune control of robotic vehicles is proposed. This methodology is based on two-position spectral monitoring of the electromagnetic environment at transmission and reception points. A structural diagram of the methodology has been developed, including assessment of the electromagnetic environment, generation of a control channel state vector, calculation of a communication quality indicator, determination of the need for reconfiguration, and coordinated reconfiguration of radio channel parameters, followed by verification.
- Received
- 28.05.2026
- Approved after review
- 01.06.2026
- Accepted
- 30.06.2026
How to cite
Ромащенко М.А., Васильченко Д.В., Пухов Д.А., Пухов М.Е. Методика обеспечения помехоустойчивого управления роботизированными аппаратами // Радиотехника. 2026. Т. 90. № 7. С. 40-44. DOI: https://doi.org/10.18127/j00338486-202607-07
References
- Ghanaatian R., Afisiadis O., Cotting M., Burg A. LoRa digital receiver analysis and implementation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2019. P. 1498–1502. DOI:10.1109/ICASSP.2019.8683504.
- McCoy J., Rawat D.B. Software-defined networking for unmanned aerial vehicular networking and security: a survey. Electronics. 2019. V. 8. № 12. Р. 1468. DOI: 10.3390/electronics8121468.
- Pinto M.F., Marcato A.L.M., Melo A.G., Honório L.M., Urdiales C. A framework for analyzing fog-cloud computing cooperation applied to information processing of UAVs. Wireless Communications and Mobile Computing. 2018. V. 2019. Article ID 7497924. 14 p. DOI: 10.48550/arXiv.1901.03385.
