• DocumentCode
    2431306
  • Title

    Non-data aided feedforward estimation of PSK-modulated carrier frequency offset

  • Author

    Wang, Y. ; Serpedin, E. ; Ciblat, P.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    192
  • Lastpage
    196
  • Abstract
    This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonlinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Rician-fading channels. The asymptotic performance of these estimators is established in a closed-form expression and compared with the modified Cramer-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed
  • Keywords
    AWGN channels; Rician channels; data communication; feedforward; frequency estimation; least squares approximations; phase shift keying; voice communication; AWGN channels; PSK; Rician-fading channels; asymptotic performance; best linear unbiased estimator; blind frequency offset estimators; burst transmission; burst-mode phase shift keying; carrier frequency offset estimation; closed-form expression; digital data transmission; digital voice transmission; flat fading channels; modified Cramer-Rao bound; nondata-aided feedforward estimation; nonlinear least-squares; AWGN channels; Fading; Frequency estimation; Frequency shift keying; Maximum likelihood estimation; Phase estimation; Phase modulation; Phase shift keying; Signal to noise ratio; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2002. ICC 2002. IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-7400-2
  • Type

    conf

  • DOI
    10.1109/ICC.2002.996843
  • Filename
    996843