• DocumentCode
    945042
  • Title

    Frames theoretic analysis of zero-padding OFDM over deep fading wireless channels

  • Author

    Wang, Jian ; Song, Jian ; Yang, Zhi-Xing ; Yang, Lin ; Wang, Jun

  • Author_Institution
    FIT, Tsinghua Univ., Beijing, China
  • Volume
    52
  • Issue
    2
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    252
  • Lastpage
    260
  • Abstract
    The performance of the orthogonal frequency division multiplexing (OFDM) systems may be severely deteriorated when passing through wireless channels with the spectral s. Zero-Padding (ZP) for the OFDM signal guarantees the symbol recovery regardless of the channel spectral s if complicated ZP-OFDM-MMSE equalizer is used. In this paper we first establish a connection between ZP-OFDM and DFT codes and then two novel signal reconstruction schemes, signal projection and low-complexity signal reconstruction, are presented to deal with the spectral s based on the frames theory. The simulation results demonstrate that significant performance improvement can be achieved using our proposed methods over the so-called ZP-OFDM overlap and add (ZP-OFDM OLA) scheme.
  • Keywords
    OFDM modulation; channel coding; discrete Fourier transforms; equalisers; fading channels; least mean squares methods; signal reconstruction; wireless channels; DFT code; ZP-OFDM-MMSE equalizer; discrete Fourier transform; frame theory analysis; minimum mean square error method; orthogonal frequency division multiplexing system; signal reconstruction scheme; wireless fading channel; zero-padding; DSL; Digital video broadcasting; Discrete Fourier transforms; Equalizers; Fading; Forward error correction; Interleaved codes; Intersymbol interference; OFDM; Signal reconstruction; Channel spectral s; DFT codes; OFDM; TDS-OFDM; Zero-Padding; frames;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/TBC.2006.872993
  • Filename
    1634782