• DocumentCode
    967746
  • Title

    SVD-Based Techniques for Zero-Padded Block Transmission Over Fading Channels

  • Author

    Bianchi, Tiziano ; Argenti, Fabrizio

  • Author_Institution
    Dept. of Electron. & Telecommun., Univ. of Florence
  • Volume
    55
  • Issue
    2
  • fYear
    2007
  • Firstpage
    594
  • Lastpage
    604
  • Abstract
    In this paper, the performance of filter bank transceivers in the presence of a dispersive time-variant channel is investigated. It is well known that filter bank transceivers can be adapted to the channel transfer function to yield intersymbol interference (ISI) cancellation. When the channel is time variant, several problems arise, since the transceiver should be changed whenever the channel evolves. In this paper, we will allow both the transmitter and the receiver to change and satisfy the interference-free condition, under the assumption of a zero-padded block transmission. In this case, the optimum transmitter-receiver pair can be computed by using a singular value decomposition (SVD) of the channel matrix. A fast receiver adaptation based on SVD tracking is presented. Simulation results show that minimum performance loss with respect to the optimum receiver can be achieved for our reduced complexity receiver
  • Keywords
    channel bank filters; fading channels; interference suppression; intersymbol interference; radiofrequency interference; singular value decomposition; time-varying channels; transceivers; ISI; SVD-based techniques; channel matrix; channel transfer function; dispersive time-variant channel; fading channels; filter bank transceivers; intersymbol interference cancellation; singular value decomposition; zero-padded block transmission; Dispersion; Fading; Filter bank; Interference cancellation; Intersymbol interference; Matrix decomposition; Singular value decomposition; Transceivers; Transfer functions; Transmitters; Filter bank transceivers; multicarrier modulation; singular value decomposition (SVD); subspace tracking; symbol error probability;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.885785
  • Filename
    4063533