• DocumentCode
    3293685
  • Title

    Generalized Kay estimator for the frequency of a single complex sinusoid

  • Author

    Rosnes, Eirik ; Vahlin, Anders

  • Author_Institution
    Dept. of Inf., Bergen Univ., Norway
  • Volume
    10
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2958
  • Abstract
    This article introduces a generalized version of Kay´s (1989) estimator for the frequency of a single complex sinusoid in complex additive white Gaussian noise (AWGN). Kay developed a maximum likelihood (ML) estimator based on differential phase measurements with a delay of one symbol interval. In this paper the corresponding ML estimator with an arbitrary delay in the differential phase measurements is derived. The proposed estimator reduces the variance at low SNR compared with Kay´s original estimator. The penalty for the reduced variance is a reduced estimation range. With sufficient delay the window function in the generalized Kay estimator is nearly uniform and the implementation complexity is reduced. Performance comparisons with an estimator based on differential phase measurements with a uniform window function is given. The proposed estimator is also compared with the Fitz (1991) estimator
  • Keywords
    AWGN; delay estimation; frequency estimation; maximum likelihood estimation; signal processing; AWGN; Fitz estimator; ML estimator; SNR; arbitrary delay; complex additive white Gaussian noise; complexity reduction; differential phase measurements; frequency estimation; generalized Kay estimator; maximum likelihood estimator; reduced variance; single complex sinusoid; uniform window function; AWGN; Delay estimation; Frequency estimation; Frequency synchronization; Informatics; Maximum likelihood detection; Maximum likelihood estimation; Phase estimation; Phase measurement; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.937215
  • Filename
    937215