• DocumentCode
    1007920
  • Title

    Asymptotic theory for a fast frequency detector

  • Author

    Yakowitz, S.

  • Author_Institution
    Dept. of Syst. & Ind. Eng., Arizona Univ. Tucson, AZ
  • Volume
    39
  • Issue
    3
  • fYear
    1993
  • fDate
    5/1/1993 12:00:00 AM
  • Firstpage
    1031
  • Lastpage
    1036
  • Abstract
    A fast technique for efficient online signal detection and tracking is extended by analyzing the asymptotic distribution of the detector. A version of the technique is seen to have potentially greater precision than other fast estimators, the upper bound being O(1/n2/3). Coupled with another device, there is potential for achieving the convergence precision of the maximum likelihood estimate, which, by conventional methods, entails considerably computational expense
  • Keywords
    convergence; signal detection; tracking; asymptotic theory; contraction mapping; convergence precision; fast frequency detector; maximum likelihood estimate; signal detection; tracking; Chaos; Convergence; Costs; Detectors; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Power harmonic filters; Signal detection; Spread spectrum communication; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.256509
  • Filename
    256509