• DocumentCode
    668844
  • Title

    Spectrum estimation of harmonics based on the ESPRIT method under alpha-stable noise

  • Author

    Wu Liang-dan ; Luo Jing ; Zha Dai-feng

  • Author_Institution
    Coll. of Electron. Eng., Jiujiang Univ., Jiujiang, China
  • fYear
    2013
  • fDate
    20-22 Nov. 2013
  • Firstpage
    598
  • Lastpage
    601
  • Abstract
    Traditional spectrum estimation of harmonics has been developed under the condition that the sub-space vectors of noises are Gaussian distributed, but the variance which is the second order statistics of fractional lower order stable distribution is infinite value. This paper briefly introduce the statistical characteristics of alpha stable distribution, analyses the fractional order correlation matrix structure through the definition of the fractional p-order correlation, proposes a new method of frequency estimation under alpha-stable noise conditions based on the traditional ESPRIT method. The simulation results show that the proposed method is more robust than the traditional ESPRIT.
  • Keywords
    Gaussian distribution; frequency estimation; signal processing; ESPRIT method; Gaussian distribution; alpha stable distribution; alpha-stable noise; alpha-stable noise conditions; fractional lower order stable distribution; fractional order correlation matrix structure; fractional p-order correlation; frequency estimation method; harmonics spectrum estimation; second order statistics; statistical characteristics; subspace noise vectors; Correlation; Frequency estimation; Harmonic analysis; Noise; Signal processing algorithms; Spectral analysis; Alpha stable distribution; ESPRIT; Spectrum Estimation of Harmonics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
  • Conference_Location
    Xianning
  • Print_ISBN
    978-1-4799-2859-0
  • Type

    conf

  • DOI
    10.1109/CECNet.2013.6703402
  • Filename
    6703402