• DocumentCode
    3524834
  • Title

    Bayesian and hybrid Cramer-Rao bounds for QAM dynamical phase estimation

  • Author

    Yang, J. ; Geller, B. ; Wei, A.

  • Author_Institution
    SATIE, ENS Cachan, Paris
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    3297
  • Lastpage
    3300
  • Abstract
    In this paper, we study Bayesian and hybrid Cramer-Rao bounds for the dynamical phase estimation of QAM modulated signals. We present the analytical expressions for the various CRBs. This avoids the calculation of any matrix inversion and thus greatly reduces the computation complexity. Through simulations, we also illustrate the behaviors of the BCRB and of the HCRB with the signal-to-noise ratio.
  • Keywords
    Bayes methods; phase estimation; quadrature amplitude modulation; Bayesian bound; Cramer-Rao bound; QAM dynamical phase estimation; quadrature amplitude modulation; Bayesian methods; Binary phase shift keying; Computational modeling; Frequency synchronization; Information analysis; Phase estimation; Phase modulation; Phase noise; Quadrature amplitude modulation; Signal to noise ratio; Bayesian Cramer-Rao Bound (BCRB); Hybrid Cramer-Rao Bound (HCRB); Synchronization Performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960329
  • Filename
    4960329
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3524834