• DocumentCode
    1236035
  • Title

    Closed-form unbiased frequency estimation of a noisy sinusoid using notch filters

  • Author

    Savaresi, Sergio M. ; Bittanti, S. ; So, H.C.

  • Author_Institution
    Dipt. di Elettronica e Informazione, Politecnico di Milano, Milan, Italy
  • Volume
    48
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    1285
  • Lastpage
    1292
  • Abstract
    In this note, the problem of the frequency estimation of a sinusoid embedded in white noise is considered. The approach used herein is the minimization of the sample variance of the output of constrained notch filters fed by the noisy sinusoid. In particular, this note focuses on closed-form expressions of the frequency estimate, which can be obtained using notch filters having an all-zeros finite-impulse response (FIR) structure. The results presented in this note are as follows: 1) it is shown that the FIR notch filters obtained from standard second-order infinite-impulse response (IIR) filters are inadequate; 2) a new second-order IIR notch filter is proposed, which provides an unbiased estimate of the frequency; 3) the FIR filter obtained from the new IIR filter provides a closed-form unbiased frequency estimate; and 4) the closed-form frequency estimate obtained using the new FIR notch filter asymptotically converges toward the Pisarenko harmonic decomposition estimator and the Yule-Walker estimator.
  • Keywords
    FIR filters; filtering theory; frequency estimation; harmonic analysis; minimisation; notch filters; parameter estimation; white noise; closed-form frequency estimate; finite-impulse response structure; harmonic analysis; minimization; notch filters; parameter identification; unbiased frequency estimation; white noise; Automatic control; Control systems; Delay; Differential equations; Filters; Frequency estimation; Linear systems; Nonlinear equations; Observability; Perturbation methods;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2003.814278
  • Filename
    1211231