• DocumentCode
    1332429
  • Title

    Linear MMSE Estimation of Large-Magnitude Symmetric Levy-Process Phase-Noise

  • Author

    Su, Yeong-Tzay ; Wong, Kainam Thomas ; Ho, Keang-Po

  • Author_Institution
    Dept. of Math., Nat. Kaohsiung Normal Univ., Kaohsiung, Taiwan
  • Volume
    58
  • Issue
    12
  • fYear
    2010
  • fDate
    12/1/2010 12:00:00 AM
  • Firstpage
    3369
  • Lastpage
    3374
  • Abstract
    The linear minimum-mean-square error (LMMSE) estimator is herein derived to estimate phase-noise of Levy statistics (including Wiener phase-noise) and of arbitrarily large magnitude. This estimator may be pre-set to any latency and any number of tabs. This estimator depends only on the signal-to-(additive)-noise ratio and the phase-noise variance, but requires no matrix-inversion.
  • Keywords
    least mean squares methods; mobile communication; phase noise; statistics; Levy statistics; large-magnitude symmetric Levy-process phase-noise; linear MMSE estimation; linear minimum-mean-square error estimator; Additive noise; Equations; Estimation; Indexes; Signal to noise ratio; Stochastic processes; Symmetric matrices; Least mean square methods; parameter estimation; phase estimation; phase jitter; phase noise; recursive estimation;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2010.091310.090700
  • Filename
    5582321
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1332429