Journal of Siberian Federal University. Engineering & Technologies / Mathematical Model of Microdopler Signals of Small- Sized Aerial Objects for Radar Recognition Based on Phase Features

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Issue
Journal of Siberian Federal University. Engineering & Technologies. 2026 19 (3)
Authors
Grebennikov, Andrey V.; Kopylov, Nikita V.; Vladimirov, Valery M.; Poslavskaya, Valeria V.
Contact information
Grebennikov, Andrey V. : Siberian Federal University (Krasnoyarsk, Russian Federation); Kopylov, Nikita V. : Yaroslavl Higher Military School of Air Defense named after Marshal of the Soviet Union L. A. Govorov (Yaroslavl, Russian Federation); Vladimirov, Valery M. : Siberian Federal University (Krasnoyarsk, Russian Federation); Poslavskaya, Valeria V. : Siberian Federal University (Krasnoyarsk, Russian Federation);
Keywords
Microdopler effect; small-sized aerial objects; phase coherence; radar recognition; mathematical model; unmanned aerial vehicles
Abstract

The article considers the problem of mathematical modeling of Microdopler signals reflected from small-sized aerial objects such as unmanned aerial vehicles and biological targets. A phase-coherent mathematical model of the reflected radar signal has been developed based on the representation of the target as a set of distributed scattering elements with rigid and articulated kinematics. It is shown that the difference in the physical nature of the micro-movements of the target elements leads to a fundamentally different phase structure of the Microdopler components with similar energy characteristics of the spectrum. Based on the analysis of the phase properties of the reflected signals, the use of the phase coherence coefficient as a distinguishing feature for radar recognition of small- sized aerial objects in conditions of a low signal-to-noise ratio is theoretically justified

Pages
410–419
EDN
RDDADR
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/158290

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