• DocumentCode
    818733
  • Title

    A cumulant based TK method for the harmonic retrieval problem

  • Author

    Shi, Z. ; Fairman, F.

  • Author_Institution
    Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    139
  • Issue
    3
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    221
  • Lastpage
    225
  • Abstract
    The Tufts-Kumaresan (TK) method is well known as one of the best solutions to the harmonic retrieval problem. The fourth-order cumulant operator is used to modify the TK method. It is shown that, after applying the fourth-order cumulant operator to the observed signal, the form of the model of the harmonic retrieval problem still holds for the transformed data (cumulants of the observed signal). Therefore, the TK method is directly applicable to this new model for frequency estimation. The advantage of using the fourth-order cumulant operator is that the transformed data is insensitive to Gaussian noise (white or coloured), resulting in an effective increase of SNR. However, this is achieved at the expense of more computations. Computer simulation shows the effectiveness of this method
  • Keywords
    filtering and prediction theory; harmonic analysis; signal processing; Gaussian noise; SNR; TK method; Tufts-Kumaresan method; coloured noise; computer simulation; fourth-order cumulant operator; frequency estimation; harmonic retrieval; observed signal; transformed data; white noise;
  • fLanguage
    English
  • Journal_Title
    Radar and Signal Processing, IEE Proceedings F
  • Publisher
    iet
  • ISSN
    0956-375X
  • Type

    jour

  • Filename
    143312