• DocumentCode
    682664
  • Title

    FM signal parameter estimation using the Hilbert Huang transform

  • Author

    Hao Chen ; Jun-Hai Guo ; Tong Liu

  • Author_Institution
    Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China
  • Volume
    03
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1246
  • Lastpage
    1250
  • Abstract
    Combining EMD (Empirical mode decomposition) based denoising methods with mode decomposition methods, new robust FM (frequency modulation) signal parameter estimation methods are proposed. The original signal is firstly denoised with EMD based denoising method, HHT (Hilbert Huang transform) based FM signal parameter estimation method is then used on the denoised signal. Simulations show that the EMD based denoising method largely increases signal´s SNR and does no harm to the mode decomposition, making the FM parameter estimation method more robust to noise, and the application in radar target estimation proves the usefulness of this method.
  • Keywords
    Hilbert transforms; frequency modulation; parameter estimation; radar tracking; signal denoising; EMD based denoising method; FM signal parameter estimation; HHT; Hilbert Huang transform; denoised signal; empirical mode decomposition; frequency modulation; radar target estimation; Acceleration; Empirical mode decomposition; Frequency modulation; Noise reduction; Signal to noise ratio; EMD based denoising; FM signal; HHT; Principal component extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6743863
  • Filename
    6743863