• DocumentCode
    1197539
  • Title

    On sequential delay estimation in wideband digital communication systems

  • Author

    Steinberg, Yossef ; Poor, H. Vincent

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • Volume
    40
  • Issue
    5
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    1327
  • Lastpage
    1333
  • Abstract
    The problem of estimating the symbol timing in wideband data communication signals is considered. Conventional approaches to this problem suffer from several drawbacks, including possible lack of consistency due to multiple extrema in the error surface, and very slow convergence due to exceedingly sharp waveform correlation functions. In the paper sequential detection-estimation algorithms that alleviate these problems are constructed and analyzed. These algorithms are based on two techniques: the use of regularization (i.e., prefiltering) to produce a consistent initial estimate at the expense of higher mean-square error, and the coupling of recursive maximum-likelihood with this consistent estimator to produce the desired goal-a recursive consistent and efficient estimator
  • Keywords
    array signal processing; broadband networks; correlation theory; data communication systems; digital communication systems; estimation theory; maximum likelihood estimation; parameter estimation; signal detection; synchronisation; initial estimate; mean-square error; prefiltering; recursive maximum-likelihood; regularization; sequential delay estimation; sequential detection-estimation algorithms; symbol timing; waveform correlation functions; wideband data communication signals; wideband digital communication systems; Algorithm design and analysis; Convergence; Data communication; Delay estimation; Digital communication; Maximum likelihood detection; Recursive estimation; Surface waves; Timing; Wideband;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.333851
  • Filename
    333851