• DocumentCode
    2168383
  • Title

    Detection of non-contact life-parameter signals by EMD

  • Author

    Jian-jun, Li

  • Author_Institution
    Inf. Eng. Coll., Inner Mongolia Sci. & Technol. Univ., Baotou, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    3661
  • Lastpage
    3664
  • Abstract
    This article through the analysis of the radar non-contact life-parameter signals and gain its characteristics of extremely low frequency, low signal-to-noise ratio, and the easy submerged in strong clutter. This paper presents a threshold denoising algorithm based on empirical mode decomposition, the algorithm can adaptive efficient decomposition complex signal, and directly extract life-parameter signals don´t need preprocessing, and can be very good reserves nonlinear and unsteady characteristics for the study in the chaotic noise background weak signal detection which is of great practical significance.
  • Keywords
    clutter; radar signal processing; signal denoising; signal detection; EMD; clutter; empirical mode decomposition; noncontact life-parameter signals detection; radar noncontact life-parameter signals; signal-to-noise ratio; threshold denoising algorithm; Algorithm design and analysis; Educational institutions; Feature extraction; Filtering; Noise reduction; Radar; Signal to noise ratio; EMD; SNR; Threshold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6066316
  • Filename
    6066316