• DocumentCode
    1475519
  • Title

    Exploiting input cyclostationarity for blind channel identification in OFDM systems

  • Author

    Heath, Robert W., Jr. ; Giannakis, Georgios B.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • Volume
    47
  • Issue
    3
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    848
  • Lastpage
    856
  • Abstract
    Transmitter-induced cyclostationarity has been explored previously as an alternative to fractional sampling and antenna array methods for blind identification of FIR communication channels. An interesting application of these ideas is in OFDM systems, which induce cyclostationarity due to the cyclic prefix. We develop a novel subspace approach for blind channel identification using cyclic correlations at the OFDM receiver. Even channels with equispaced unit circle zeros are identifiable in the presence of any nonzero length cyclic prefix with adequate block length. Simulations of the proposed channel estimator along with its performance in OFDM systems combined with impulse response shortening and Reed-Solomon coding are presented
  • Keywords
    OFDM modulation; Reed-Solomon codes; blind equalisers; correlation methods; parameter estimation; parameter space methods; receivers; telecommunication channels; transient response; FIR communication channels; OFDM systems; Reed-Solomon coding; blind channel identification; block length; channel estimator; cyclic correlations; cyclic prefix; equalisation; equispaced unit circle zeros; impulse response shortening; input cyclostationarity; nonzero length cyclic prefix; receiver; simulations; subspace approach; transmitter-induced cyclostationarity; Blind equalizers; Filter bank; Finite impulse response filter; Mobile communication; Multipath channels; OFDM; Sampling methods; Signal processing algorithms; Training data; Transmitting antennas;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.747790
  • Filename
    747790