• DocumentCode
    3588890
  • Title

    Achieving Better Performance Using a New Variable LMS Algorithm Equalizer for Systems-Based OFDM

  • Author

    Razlighi, Ziba Reza-zadeh ; Ghazi-Maghrebi, Saeed

  • Author_Institution
    Dept. of Commun., Islamic Azad Univ., Tehran, Iran
  • fYear
    2014
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    Effective algorithms in modern digital communication systems provide a fundamental basis for increasing the efficiency of the application networks. Equalizations are one of the preferred methods for increasing the efficiency of application systems such as OFDM. The step size is one of the main parameters of the equalization algorithms, because its value and its determining method change the convergence speed and as a result change the bit rate value. In this paper, we improve the OFDM modulation employing a new VLMS equalizer with a variable step size. The simulation results show that the proposed method has lower misadjustment and BER in different SNRs, especially for low SNRs. The proposed algorithm has better performance with respect to FLMS with different step size and the wellknown Kwong VLMS equalizer in the standard SUI channels in the OFDM modulation. Therefore, this VLMS equalization is a good choice for high speed and real-time applications such as OFDM based systems.
  • Keywords
    OFDM modulation; digital communication; equalisers; error statistics; least mean squares methods; telecommunication channels; BER; FLMS; Kwong VLMS equalizer; OFDM system; SNRs; bit error rate; modern digital communication system; orthogonal frequency division multiplexing; standard SUI channel; variable LMS algorithm equalizer; Algorithm design and analysis; Bit error rate; Equalizers; Least squares approximations; OFDM; Signal processing algorithms; Simulation; Equalization; LMS; Misadjustment; OFDM; Variable Step Size; VLMS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
  • Print_ISBN
    978-1-4799-7599-0
  • Type

    conf

  • DOI
    10.1109/AIMS.2014.66
  • Filename
    7102482