Alexander Ya. Ksenzenko
PhD in Technical Sciences, Federal State Educational Institution of Higher Education «Moscow State Technological University «STANKIN» (MSUT «STANKIN»), Head of the Laboratory of Sensory and Control Systems, 3A, Vadkovsky per., Moscow, 27055, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Valentin E. Prianichnikov
Doctor of Technical Science, Keldysh Institute of Applied Mathematics of Russian Academy of Sciences (KIAM RAS), Leading Research Scientist, 4, Miusskaya pl., Moscow, 125047, Russia; MSUT «STANKIN», Head of Сhair, Professor, 3A, Vadkovsky per., Moscow, 27055, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0003-0974-317X
Viatcheslav V. Iastrebov
PhD in Technical Sciences, KIAM RAS, Leading Engineer, 4, Miusskaya pl., Moscow, 125047, Russia; MSUT «STANKIN», Senior Research Scientist, 3A, Vadkovsky per., Moscow, 27055, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Received April 27, 2025
Abstract
Present work is devoted to the study of the spectrum of Doppler signals reflected from the moving objects, which surround the mobile robots, especially in the extreme environments. Attention is focused around the identification of the objects, especially flying ones, at low and extremely low altitudes, which is difficult to identify by other methods. Moving objects located in the control area have their own characteristic of Doppler spectrum. Therefore, all objects that can enter the controlled space should be examined without exception. The presence of a library of such Doppler spectrums allows effective isolation of the signal of interest against the background of interference. The work was carried out on the basis IINET RSUH within the framework of the joint project «Intelligent Robotics», the state task.
Key words
Mobile robotic complex, library of Doppler spectrums, extreme environment, identification of moving objects.
Acknowledgements
The work was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation (project FSFS-2024-0012).
Bibliographic description
Ksenzenko, A.Ya., Prianichnikov, V.E. and Iastrebov, V.V. (2025), "Creation of libraries of Doppler sprectrums from еру moving objects at short distances", Robotics and Technical Cybernetics, vol. 13, no. 2, pp. 98-103, EDN: RKWBMM. (in Russian).
EDN
RKWBMM
UDC identifier
629.365:007.52:681.518.3
References