• DocumentCode
    2264683
  • Title

    Adaptive decision feedback equalization for filter bank based multicarrier systems

  • Author

    Waldhauser, Dirk S. ; Baltar, Leonardo G. ; Nossek, Josef A.

  • Author_Institution
    Inst. for Circuit Theor. & Signal Process., Tech. Univ. Munchen, Munchen, Germany
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    2794
  • Lastpage
    2797
  • Abstract
    In this work we present a per-subchannel nonlinear adaptive equalizer for a class of filter bank based multicarrier (FBMC) systems. We consider the class of exponentially modulated FBMCs with offset quadrature amplitude modulated (OQAM) input symbols. We present a fractionally spaced adaptive decision feedback equalizer (DFE) based on the least-mean-square (LMS) algorithm. The input of each equalizer comprises only the output of each subchannel. In the simulation results we show that, despite its increased computational complexity, the performance and higher bandwidth efficiency of OQAM FBMC systems makes them a competitive alternative to conventional multicarrier systems like cyclic prefix based orthogonal frequency division multiplexing (CP-OFDM).
  • Keywords
    adaptive equalisers; channel bank filters; computational complexity; decision feedback equalisers; least squares approximations; nonlinear filters; quadrature amplitude modulation; CP-OFDM; LMS algorithm; bandwidth efficiency; computational complexity; cyclic prefix based orthogonal frequency division multiplexing; exponentially-modulated OQAM FBMC system; filter bank-based multicarrier system; fractionally-spaced DFE; least-mean-square algorithm; offset quadrature amplitude modulation; subchannel nonlinear adaptive decision feedback equalization; Adaptive equalizers; Amplitude modulation; Bandwidth; Computational complexity; Computational modeling; Decision feedback equalizers; Filter bank; Least squares approximation; OFDM; Quadrature amplitude modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5118382
  • Filename
    5118382