• DocumentCode
    793568
  • Title

    Joint Blind Adaptive Carrier Frequency Offset Estimation and Channel Shortening

  • Author

    Martin, Richard K.

  • Author_Institution
    Air Force Inst. of Technol., Wright-Patterson AFB, OH
  • Volume
    54
  • Issue
    11
  • fYear
    2006
  • Firstpage
    4194
  • Lastpage
    4203
  • Abstract
    Multicarrier modulation has the advantage of robustness to multipath, so long as the delay spread of the multipath is less than the guard interval between successive transmitted blocks. However, it has the disadvantage of sensitivity to a carrier frequency offset (CFO), which disrupts the orthogonality of the subcarriers. If a CFO is present, it must be estimated and then corrected. In addition, if the channel delay spread exceeds the guard interval, this must be accounted for as well, usually by a channel shortening equalizer. Hitherto, CFO estimation and channel shortening have been addressed individually. However, this leads to a circular set of assumptions, since standard CFO estimators perform poorly when the channel is longer than the guard interval, and standard channel shorteners assume that CFO estimation has already been perfectly performed. In this paper, we investigate a blind, adaptive method for jointly performing CFO estimation and channel shortening
  • Keywords
    adaptive equalisers; blind equalisers; channel estimation; frequency estimation; blind adaptive carrier frequency offset estimation; channel delay spread; channel shortening equalizer; guard interval; multicarrier modulation; Bit error rate; Bit rate; Blind equalizers; Delay estimation; Frequency estimation; Metropolitan area networks; Robustness; Satellite broadcasting; Time domain analysis; Wireless LAN; Adaptive; blind; carrier frequency offset (CFO); cyclic prefix; equalization; multicarrier;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.880235
  • Filename
    1710366