• DocumentCode
    1650190
  • Title

    Detection and estimation of Doppler signal using HHT marginal spectrum

  • Author

    Ye, Yuan ; Wen-bo, Mei ; Si-liang, Wu ; Qi, Yuan

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • Firstpage
    199
  • Lastpage
    202
  • Abstract
    A new method based on Hilbert-Huang transform (HHT) marginal spectrum is proposed to detect the Doppler signal and estimate the Doppler shift in this paper. This method first iteratively decompose the Doppler signal into a number of intrinsic mode functions (IMFs) Which are monocomponent. Then Hilbert transform is applied to each IMF to calculate Hilbert spectrum, and HHT marginal spectrum is obtained by integrating Hilbert spectrum with respect to time. The emergence of the Doppler signal can be detected in terms of the maximum amplitude of HHT marginal spectrum larger than the preset threshold. The amount of Doppler shift is estimated as the difference between the radar center frequency and the frequency, at which the band pass spectrum of the received signal is centered. Simulation experiments show that HHT marginal spectrum is a promising approach for the detection and estimation of Doppler signal.
  • Keywords
    Doppler shift; Hilbert transforms; iterative methods; radar; signal detection; Doppler shift; Doppler signal estimation; HHT marginal spectrum; Hilbert-Huang transform marginal spectrum; intrinsic mode functions; iteratively decompose method; radar center frequency; signal detection; Clothing industry; Design engineering; Doppler shift; Frequency estimation; Information science; Radar detection; Signal analysis; Signal detection; Signal resolution; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697103
  • Filename
    4697103