• DocumentCode
    1387165
  • Title

    Frequency and symbol rate offset compensating algorithms for simultaneous estimation of echo and channel responses

  • Author

    Li, Weiping ; Chen, Xixian ; Wang, Yi ; Miki, Nobuhiro

  • Author_Institution
    Training Center, Beijing Univ. of Posts & Telecommun., China
  • Volume
    44
  • Issue
    4
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    1702
  • Lastpage
    1708
  • Abstract
    This article addresses two critical problems in designing new full-duplex fast training algorithms for simultaneously estimating echo and channel responses. Although algorithms of this type have been discussed and evaluated in previous work, the proposed algorithms concentrate on coping with the following two problems that were not solved in the previous approaches: (1) the symbol rate difference between the local transmitter and the remote transmitter, and (2) the frequency offsets in both far echo and far signal that are caused by the analog carrier network. The performance of the new methods is analyzed in terms of the mean square error. Simulation results are presented to confirm the analysis
  • Keywords
    echo suppression; parameter estimation; signal sampling; telecommunication channels; transient response; Nyquist sampling theorem; analog carrier network; channel response estimation; echo cancellation; echo response estimation; estimation matrices; far echo; far signal; frequency offset compensating algorithm; full-duplex fast training algorithms; local transmitter; mean square error; performance analysis; received samples; remote transmitter; simulation results; symbol rate difference; symbol rate offset compensating algorithm; two-wire full duplex data modem; Algorithm design and analysis; Analytical models; Data communication; Degradation; Echo cancellers; Equalizers; Frequency estimation; Modems; Performance analysis; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.681355
  • Filename
    681355