• DocumentCode
    780901
  • Title

    Optimal blind carrier recovery for MPSK burst transmissions

  • Author

    Wang, Yan ; Serpedin, Erchin ; Ciblat, Philippe

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    51
  • Issue
    9
  • fYear
    2003
  • Firstpage
    1571
  • Lastpage
    1581
  • Abstract
    The paper introduces and analyzes the asymptotic (large sample) performance of a family of blind feedforward nonlinear least-squares (NLS) estimators for joint estimation of carrier phase, frequency offset, and Doppler rate for burst-mode phase-shift keying transmissions. An optimal or "matched" nonlinear estimator that exhibits the smallest asymptotic variance within the family of envisaged blind NLS estimators is developed. The asymptotic variance of these estimators is established in closed-form expression and shown to approach the Cramer-Rao lower bound of an unmodulated carrier at medium and high signal-to-noise ratios (SNR). Monomial nonlinear estimators that do not depend on the SNR are also introduced and shown to perform similarly to the SNR-dependent matched nonlinear estimator. Computer simulations are presented to corroborate the theoretical performance analysis.
  • Keywords
    demodulation; feedforward; frequency estimation; nonlinear estimation; phase estimation; phase shift keying; Cramer-Rao lower bound; Doppler rate estimation; MPSK burst transmissions; SNR; asymptotic variance; blind carrier recovery; blind estimation; burst-mode phase-shift keying; carrier phase estimation; closed-form expression; feedforward estimation; frequency offset estimation; nonlinear least-squares estimation; signal-to-noise ratio; AWGN; Frequency estimation; Frequency synchronization; Maximum likelihood estimation; Performance analysis; Phase estimation; Phase shift keying; Signal processing algorithms; Signal to noise ratio; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2003.816979
  • Filename
    1231655