• DocumentCode
    1554098
  • Title

    Robust estimation of a single complex sinusoid in white noise-H filtering approach

  • Author

    Nishiyama, Kiyoshi

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Iwate Univ., Morioka, Japan
  • Volume
    47
  • Issue
    10
  • fYear
    1999
  • fDate
    10/1/1999 12:00:00 AM
  • Firstpage
    2853
  • Lastpage
    2856
  • Abstract
    A novel robust estimator is proposed for extracting a single complex sinusoid and its parameter (frequency) from measurements corrupted by white noise. This estimator is called an H sinusoidal estimator (HSE), which is derived by applying an H filter to a noisy sinusoidal model with the state-space representation. Simulations demonstrate that the HSE is more robust to the nature of observation noise {vk} than the Kalman sinusoidal estimator (KSE), which is an improved version of the nonlinear filter previously proposed by the author
  • Keywords
    Kalman filters; frequency estimation; nonlinear filters; signal representation; state-space methods; white noise; H filtering approach; H sinusoidal estimator; HSE; Kalman sinusoidal estimator; frequency; noisy sinusoidal model; nonlinear filter; observation noise; parameter; robust estimation; single complex sinusoid; state-space representation; white noise; Filtering; Frequency estimation; Frequency measurement; Kalman filters; Noise measurement; Noise robustness; Nonlinear filters; Signal to noise ratio; State estimation; White noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.790665
  • Filename
    790665