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Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia, 2020, Volume 495, Pages 95–99
DOI: https://doi.org/10.31857/S2686954320060090 (Mi danma141) 		 
This article is cited in 3 scientific papers (total in 3 papers)

INFORMATICS

Noise-immune communication with orthogonal frequency division multiplexing using Kravchenko weight function processing

V. F. Kravchenkoab, L. E. Nazarovc, V. I. Pustovoĭtb

a Kotel'nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Moscow, Russian Federation
b Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Moscow, Russian Federation
c Kotelnikov Institute of Radioengineering and Electronics, Fryazino Branch, Russian Academy of Sciences, Fryazino, Moscow Region, Russian Federation
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DOI: https://doi.org/10.31857/S2686954320060090
Abstract: Signal structures based on OFDM signals and error-correcting codes resistant to the influence of spectrum-concentrated noise are described. An algorithm for receiving such signal structures with the use of weight functions is presented. It is shown by theoretic analysis and simulations that the class of Kravchenko weight functions based on atomic functions represents nearly optimal windows in terms of the minimum error reception probability.
Keywords: OFDM signals, spectrum-concentrated noise, Kravchenko weight functions, atomic functions.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation
This work was performed within the state assignment of the Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences.
Received: 31.08.2020
Revised: 31.08.2020
Accepted: 27.09.2020
English version:
Doklady Mathematics, 2020, Volume 102, Issue 3, Pages 528–531
DOI: https://doi.org/10.1134/S1064562420060113
Bibliographic databases:
Document Type: Article
UDC: 621.391.01
Language: Russian
Citation: V. F. Kravchenko, L. E. Nazarov, V. I. Pustovoǐt, “Noise-immune communication with orthogonal frequency division multiplexing using Kravchenko weight function processing”, Dokl. RAN. Math. Inf. Proc. Upr., 495 (2020), 95–99; Dokl. Math., 102:3 (2020), 528–531
Citation in format AMSBIB
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\pages 95--99
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\transl
\jour Dokl. Math.
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\pages 528--531
\crossref{https://doi.org/10.1134/S1064562420060113}
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