Journal of Radio Electronics. eISSN 1684-1719. 2026. Ή1

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DOI: https://doi.org/10.30898/1684-1719.2026.1.7

 

ADAPTIVE space-time FILTRATION SYNTHESIS

UNDER UNKNOWN TOTAL NOISE MATRIX

 

V.M. Artyushenko 1, V.I. Volovach 2,3

 

1 LEONOV Moscow Region University of Technology,

141070, Russia, Korolev Moscow region, Gagarin str., 42

 

2 Volga Region State University of Service,

445017, Russia, Togliatti, Gagarin str., 4

 

3 MIREA – Russian Technological University,

119454, Russia, Moscow, Vernadsky Av., 78

 

The paper was received October 10, 2025.

 

Abstract. The problem of synthesis of adaptive space-time filtering filtering, which is optimal by criterion of information parameter selection at unknown matrix of total noises, is considered. It is shown that the proposed transformation of unknown parameters makes it possible to divide them into informative and non-informative, discarding of which greatly simplifies the optimal algorithm of adaptive space-time processing. The considered approach to solving the synthesis problem allows us to isolate the minimum number of informative adaptation parameters and obtain optimal and fairly simple adaptive space-time filtering structures that generalize the classical Schirman-Widrow autocorrelation algorithms.

Key words: adaptive space-time filtering, unknown matrix of total noise, discrete observation time, observation vector, autocorrelation algorithm.

Financing: The work was carried out at the expense of the State Assignment ΉFSFZ-2024-0006.

Corresponding author: Volovach Vladimir Ivanovich, volovach.vi@mail.ru

 

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For citation:

Artyushenko V.M., Volovach V.I. Adaptive space-time filtration synthesis under unknown total noise matrix // Journal of Radio Electronics. – 2026. – Ή. 1. https://doi.org/10.30898/1684-1719.2026.1.7 (In Russian)