Journal of Siberian Federal University. Mathematics & Physics / A Recursive Algorithm for Estimating the Correlation Matrix of the Interference Based on the QR Decomposition (RETRACTED)

Full text (.pdf)
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