• DocumentCode
    1245713
  • Title

    Prefiltering-based ESPRIT for estimating sinusoidal parameters in non-Gaussian ARMA noise

  • Author

    Zhang, Xian-Da ; Liang, Ying-Chang

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    43
  • Issue
    1
  • fYear
    1995
  • fDate
    1/1/1995 12:00:00 AM
  • Firstpage
    349
  • Lastpage
    353
  • Abstract
    Addresses the ESPRIT algorithm for estimating sinusoidal parameters in non-Gaussian ARMA noise. The authors show that after prefiltering the output data via the estimated AR polynomial of the noise model, a new ESPRIT based on some extensions of ESPRIT can be used to estimate sinusoidal parameters
  • Keywords
    autoregressive moving average processes; filtering theory; parameter estimation; random noise; signal processing; ESPRIT algorithm; estimated AR polynomial; noise model; nonGaussian ARMA noise; output data; prefiltering-based ESPRIT; sinusoidal parameters estimation; Additive noise; Automation; Colored noise; Frequency estimation; Least squares methods; Parameter estimation; Polynomials; Signal processing algorithms; Signal resolution; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.365327
  • Filename
    365327
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1245713