• DocumentCode
    1801397
  • Title

    The signal subspace decomposition method for extracting harmonic signal

  • Author

    Dengwei Wang ; Yinghua Lu

  • Author_Institution
    School of the Telecommunication Networks and Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China. E-mail: lcpaper06@gmail.com
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    714
  • Lastpage
    717
  • Abstract
    The Subspace Decomposition Method for extracting harmonic character is discussed. The theory of the crosscorrelation matrix based MUSIC method in Gaussian white noise is analysised. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing target and multiple signal classification, an algorithm of harmonic retrieval, was introduced to extract harmonic frequencies. Then the frequency of harmonics is estimated by setting threshold in MUSIC power spectrum curve. The simulation proves the method is correct and feasible.
  • Keywords
    Additive white noise; Frequency estimation; Gaussian noise; Linear antenna arrays; Matrix decomposition; Multiple signal classification; Phased arrays; Sensor arrays; Vectors; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2006. ITW '06 Punta del Este. IEEE
  • Conference_Location
    Punta del Este, Uruguay
  • Print_ISBN
    1-4244-0035-X
  • Electronic_ISBN
    1-4244-0036-8
  • Type

    conf

  • DOI
    10.1109/ITW.2006.322913
  • Filename
    4117568