• DocumentCode
    585983
  • Title

    LMMSE detection of OFDM signals in time-varying channels with partial whitening of intercarrier interference and soft decision feedback

  • Author

    Wang, Hai-wei ; Lin, David W. ; Sang, Tzu-Hsien

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    24-27 Sept. 2012
  • Firstpage
    265
  • Lastpage
    260
  • Abstract
    The transmission performance of orthogonal frequency-division multiplexing (OFDM) in time-varying channels can be adversely affected by intercarrier interference (ICI). Typical ICI countermeasures address a few dominant ICI terms only, yielding an error floor due to the residual ICI. We have shown in a previous work that the residual ICI has high normalized autocorrelation and that this autocorrelation is insensitive to a variety of system and channel conditions. Consequently, the residual disturbance (consisting of residual ICI plus noise) can be whitened and reduced in a nearly channel-independent manner, benefiting signal detection. In this work, we consider linear minimum mean-square error (LMMSE) and iterative LMMSE detection with the above partial whitening of additive disturbance, together with soft decision feedback. The method is shown to provide good performance-complexity tradeoff compared to other ICI countermeasures.
  • Keywords
    OFDM modulation; feedback; intercarrier interference; iterative methods; least mean squares methods; time-varying channels; ICI; OFDM signals; intercarrier interference; iterative LMMSE detection; linear minimum mean-square error; orthogonal frequency-division multiplexing; partial whitening; soft decision feedback; time-varying channels; Complexity theory; Correlation; Doppler effect; Maximum likelihood estimation; Modulation; OFDM; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Personal Multimedia Communications (WPMC), 2012 15th International Symposium on
  • Conference_Location
    Taipei
  • ISSN
    1347-6890
  • Print_ISBN
    978-1-4673-4533-0
  • Type

    conf

  • Filename
    6398729