• DocumentCode
    2236041
  • Title

    Optimizing correlation based frequency estimators

  • Author

    Volcker, Bjorn ; Handel, Peter

  • Author_Institution
    Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As a complement to the periodogram, low-complexity frequency estimators are of interest. One such estimator is based on Prony´s method and rely on phase information of the auto-correlations. Both performance and computational complexity are functions of the choice of correlations used in the estimator and often we have a trade off situation. In this paper, frequency estimation from an arbitrary set of estimated auto-correlations is studied. We further introduce a design strategy by optimizing a performance criterion given a predetermined computational constraint. We illustrate this by numerical examples.
  • Keywords
    computational complexity; correlation theory; frequency estimation; optimisation; Prony´s method; arbitrary estimated autocorrelation set; autocorrelation phase information; computational complexity; correlation based frequency estimator optimization; performance complexity; performance criterion optimization; Abstracts; Complexity theory; Correlation; Frequency estimation; Linear programming; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7072095