- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2020 13 (2)
- Authors
- Tyapkin, Valery N.; Dmitriev, Dmitry D.; Gladyshev, Andrey B.; Zverev, Peter Yu.
- Contact information
- Tyapkin, Valery N.: Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041 Russia; ; Dmitriev, Dmitry D.: Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041 Russia; ; OCRID: 0000-0001-6438-6094; Gladyshev, Andrey B.: Siberian Federal University Krasnoyarsk, Russian Federation; ; Zverev, Peter Yu.: Siberian Federal University Krasnoyarsk, Russian Federation;
- Keywords
- phased antenna array; adaptive algorithms; Kalman filter; recursive least squares algorithm (RLS); QR decomposition; systolic algorithm
- Abstract
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 im- possible 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
- Pages
- 160–169
- DOI
- 10.17516/1997-1397-2020-13-2-160-169
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/135143
Journal of Siberian Federal University. Mathematics & Physics / A Recursive Algorithm for Estimating the Correlation Matrix of the Interference Based on the QR Decomposition (RETRACTED)
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