Under conditions of amplitude-phase non-similarity of receiving channels, the effectiveness of methods of direction finding of radiating sources with “super-resolution” is significantly reduced, which leads to the inability to resolve individual sources of interference radiation and carry out adequate anti-interference diagram formation. At the same time, information about the number of radiating sources is contained in the spectrum of the signals correlation matrix. In this work, based on the properties of eigenvalues and vectors of the correlation matrix, a methodology has been developed for estimating the quantitative composition of a group of radiating sources unresolved by angular coordinates in relation to multifunctional radar stations with a pass-through phased array antenna and an array of feeds with a digital output. The developed methodology effectiveness was evaluated by numerical simulation. The methodology application results demonstrate an increase in the probability of achieving the required value of noise immunity indicator from 0.5 to 0.95. The results obtained complement the theory of adaptive spatial filtering, and their implementation allows the noise immunity improvement of modern radar stations.
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Key words:
phased array system of feed-through type, MUSIC algorithm, radiating source direction finding, noise immunity
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Published in:
INTEGRATED RADIOELECTRONIC DEVICES
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Bibliography link:
Babushkin E. A., Kalashnikov R. V., Lavrentyev A. M., Zaitsev S. A., Smolev I. A. Methodology for assessing the number of radiation sources under conditions of amplitude-phase non-identity. Proc. Univ. Electronics, 2024, vol. 29, no. 6, pp. 805–818. https://doi.org/10.24151/1561-5405-2024-29-6-805-818. – EDN: DJMPZJ.
Evgeniy A. Babushkin
Yaroslavl Higher Military School of Air Defense, Russia, 150001, Yaroslavl, Moskovsky ave., 28
Roman V. Kalashnikov
Yaroslavl Higher Military School of Air Defense, Russia, 150001, Yaroslavl, Moskovsky ave., 28
Alexander M. Lavrentyev
Yaroslavl Higher Military School of Air Defense, Russia, 150001, Yaroslavl, Moskovsky ave., 28
Sergey A. Zaitsev
National Research University of Electronic Technology, Russia, 124498, Moscow, Zelenograd, Shokin sq., 1
Ivan A. Smolev
Main Personnel Directorate of the Ministry of Defense of the Russian Federation, Russia, 125284, Moscow, 1st Khoroshevsky dr., 3/1
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