• DocumentCode
    1447890
  • Title

    Multiple Adaptive Frequency Filtering for OFDM Channel Estimation

  • Author

    Rotoloni, Marco ; Butussi, Matteo ; Tomasin, Stefano ; Lattuada, Mauro ; Ruppert, Christian

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • Volume
    55
  • Issue
    4
  • fYear
    2009
  • Firstpage
    826
  • Lastpage
    830
  • Abstract
    In orthogonal frequency division multiplexing (OFDM) systems using pilots, channel estimation is performed on pilots and then interpolated over the time and the frequency axis. As time-interpolated estimates have a different mean square error than pilot estimates we propose the use of multiple adaptive filters for exploiting the frequency correlation of the channel. Each filter operates on a different configuration of pilot and time-interpolated estimates and is adapted independently from the other filters. As a simpler suboptimal solution we consider also the use of a single filter, whose adaptation however takes into account the reliability of the various estimates. Performance results are reported with reference to the DVB-T and DVB-T2 standards showing that the proposed technique performs similar or better than existing approaches at a much lower complexity.
  • Keywords
    OFDM modulation; adaptive filters; channel estimation; digital video broadcasting; telecommunication network reliability; television standards; DVB-T standard; DVB-T2 standard; OFDM; channel estimation; frequency correlation; mean square error; multiple adaptive frequency filtering; orthogonal frequency division multiplexing; reliability; Adaptive filters; Channel estimation; Digital video broadcasting; Filtering; Frequency estimation; Interpolation; Mean square error methods; OFDM; Scattering; Wiener filter; Channel estimation; OFDM; digital television;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/TBC.2009.2030454
  • Filename
    5256241