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Application of recursive least square algorithm to adaptive channel equalization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095965" target="_blank" >RIV/61989100:27240/15:86095965 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of recursive least square algorithm to adaptive channel equalization

  • Original language description

    This paper deals with modern wireless transmission systems. It focusses on real implementation of recursive least squares (RLS) channel equalizer into the system of software defined radio (SDR), in order to minimize the distance between the signal and SNR transmitting channel noise and then reduce the error rate of bit error rate (BER) transmission. The authors aimed to conduct a real measurement using universal software radio peripheral (USRP). Experimental results suggest that researched RLS equalizerembodies better BER values in comparison to commercially most common equalizers of the least mean square (LMS) algorithm group. Moreover, the conducted experiments show that the usage of the SDR conception is very suitable for testing new principles inchannel equalization field.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IMEKO: XXI world congress : Prague 2015

  • ISBN

    978-1-5108-1292-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    582-585

  • Publisher name

    [s.n.]

  • Place of publication

    [Česko]

  • Event location

    Praha

  • Event date

    Aug 30, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article