Journal of Siberian Federal University. Mathematics & Physics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



J. Sib. Fed. Univ. Math. Phys.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Journal of Siberian Federal University. Mathematics & Physics, 2020, Volume 13, Issue 2, Pages 160–169
DOI: https://doi.org/10.17516/1997-1397-2020-13-2-160-169
(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
Full-text PDF (376 kB) Citations (1)
References:
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.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation RFMEFI60519X0185
This work was supported by the Ministry of Science and Higher Education of the Russian Federation in the framework of the Federal target program «Research and development on priority directions of development of the scientific-technological complex of Russia for 2014-2020» (agreement no. 05.605.21.0185, unique ID project RFMEFI60519X0185).
Received: 02.11.2019
Received in revised form: 10.12.2019
Accepted: 20.01.2020
Bibliographic databases:
Document Type: Article
UDC: 519.873
Language: English
Citation: Valery N. Tyapkin, Dmitry D. Dmitriev, Andrey B. Gladyshev, Peter Yu. Zverev, “A recursive algorithm for estimating the correlation matrix of the interference based on the QR decomposition (Retracted)”, J. Sib. Fed. Univ. Math. Phys., 13:2 (2020), 160–169
Citation in format AMSBIB
\Bibitem{TyaDmiGla20}
\by Valery~N.~Tyapkin, Dmitry~D.~Dmitriev, Andrey~B.~Gladyshev, Peter~Yu.~Zverev
\paper A recursive algorithm for estimating the correlation matrix of the interference based on the QR decomposition (\textbf{Retracted})
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2020
\vol 13
\issue 2
\pages 160--169
\mathnet{http://mi.mathnet.ru/jsfu828}
\crossref{https://doi.org/10.17516/1997-1397-2020-13-2-160-169}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000526181200004}
Linking options:
  • https://www.mathnet.ru/eng/jsfu828
  • https://www.mathnet.ru/eng/jsfu/v13/i2/p160
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Журнал Сибирского федерального университета. Серия "Математика и физика"
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024