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JOURNALS // Journal of Siberian Federal University. Mathematics & Physics // Archive

J. Sib. Fed. Univ. Math. Phys., 2020 Volume 13, Issue 2, Pages 160–169 (Mi jsfu828)

A recursive algorithm for estimating the correlation matrix of the interference based on the QR decomposition (Retracted)

Valery N. Tyapkin, Dmitry D. Dmitriev, Andrey B. Gladyshev, Peter Yu. Zverev

Siberian Federal University, Krasnoyarsk, Russian Federation

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 differential 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.

Keywords: phased antenna array, adaptive algorithms, Kalman filter, recursive least squares algorithm (RLS), QR decomposition, systolic algorithm.

UDC: 519.873

Received: 02.11.2019
Received in revised form: 10.12.2019
Accepted: 20.01.2020

Language: English

DOI: 10.17516/1997-1397-2020-13-2-160-169



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