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Тяпкин, Валерий Николаевич
Дмитрий, Дмитриевич Дмитриев
Гладышев, Андрей Борисович
Зверев, Петр Юрьевич
2021-08-13T09:35:16Z
2021-08-13T09:35:16Z
2020-03
Тяпкин, Валерий Николаевич. A Recursive Algorithm for Estimating the Correlation Matrix of the Interference Based on the QR Decomposition [Текст] / Валерий Николаевич Тяпкин, Дмитриевич Дмитриев Дмитрий, Андрей Борисович Гладышев, Петр Юрьевич Зверев // Journal of Siberian Federal University - Mathematics and Physics: Mathematics and Physics. — 2020. — Т. 13 (№ 2). — С. 160-169
19971397
http://elib.sfu-kras.ru/bitstream/handle/2311/135143/Tyapkin2.pdf?sequence=1
https://elib.sfu-kras.ru/handle/2311/143191
Many tasks of digital signal processing require the implementation of matrix operations in real time. These are operations of matrix inversion or solving systems of linear algebraic or dif- ferential equations (Kalman filter). The transition to the implementation of digital signal processing on programmable logic device (FPGAs), as a rule, involves calculations based on the representation of numbers with a fixed point. This makes solving spatio-temporal processing problems practically impossible based on conventional computational methods. The article discusses the implementation of spatial-temporal signal processing algorithms in satellite broadband systems using QR decomposition. The technologies of CORDIC computations required for recurrent QR decomposition when used together in systolic algorithms are presented.
phased antenna array
adaptive algorithms
Kalman filter
recursive least squares algorithm (RLS)
QR decomposition
systolic algorithm
A Recursive Algorithm for Estimating the Correlation Matrix of the Interference Based on the QR Decomposition
Journal Article
Journal Article Preprint
160-169
2021-08-13T09:35:16Z
10.17516/1997-1397-2020-13-2-160-169
Научно-исследовательская часть
Journal of Siberian Federal University - Mathematics and Physics
Q3
без квартиля


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