• DocumentCode
    3071282
  • Title

    Frequency estimation of multi-sinusoidal signal by multiple integrals

  • Author

    Bonaventura, A. ; Coluccio, L. ; Fedele, G.

  • Author_Institution
    Univ. degli Studi della Calabria, Rende
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    564
  • Lastpage
    569
  • Abstract
    In this paper, a simple and robust method for frequency estimation of multi-sinusoidal signal from a given discrete sequence of noisy data is proposed. The approach used herein is based on the algebraic derivative method in the frequency domain and it does not make any assumption on the way to collect the samples of the considered signal. The frequencies are estimated without iterations, and explicit relationship between the elementary symmetric functions on the frequencies of the signal and its multiple integrals is given. Due to the use of the process output integrals, the resulting parameters estimation is very robust in the face of large measurement noise in the output. Moreover, for an easy time realization of the estimation, a time-varying linear (unstable) filter is proposed. Finally, the effectiveness of the proposed method is demonstrated through practical and simulated experiments.
  • Keywords
    frequency estimation; signal sampling; time-varying filters; algebraic derivative method; elementary symmetric function; frequency estimation; multiple integral; multisinusoidal signal; parameter estimation; signal sampling; time-varying linear filter; Biomedical engineering; Filters; Frequency domain analysis; Frequency estimation; Information technology; Noise measurement; Noise robustness; Parameter estimation; Phase locked loops; Signal processing; elementary symmetric functions; frequency estimation; least-squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2007 IEEE International Symposium on
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-4244-1835-0
  • Electronic_ISBN
    978-1-4244-1835-0
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2007.4458175
  • Filename
    4458175