• DocumentCode
    653385
  • Title

    Characteristic Study of Target Micro-motion Based on the Wavelet Analysis

  • Author

    Yuguang Tian ; Chao Ning ; Xiangyang Zhang

  • Author_Institution
    Sci. & Technol. on Electromagn. Scattering Lab., Beijing, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1571
  • Lastpage
    1575
  • Abstract
    The model of micro-Doppler is established including the target´s precession and tumbling, and the uniform theoretical formula of micro-Doppler is derived in this paper. Combined with the ballistic simulation, radar echo data of target operating in space ballistic midcourse is obtained. The variance and information entropy of wavelet is calculated by using continuous wavelet transform. The difference between the precession and tumbling on different scales is analyzed. The high frequency component is separated from the RCS (Radar Cross Section) data of the precession and tumbling targets through multi-scale analysis of wavelet transform. Quartile is used for identification of the precession and tumbling targets, which receives good effect, and this index is proved to have some noise-resistance capability.
  • Keywords
    Doppler radar; entropy; radar cross-sections; radar tracking; target tracking; wavelet transforms; RCS; ballistic simulation; continuous wavelet transform; information entropy; microDoppler; multiscale analysis; noise-resistance capability; precession target identification; quartile; radar cross section; radar echo data; space ballistic midcourse; target micromotion; tumbling target identification; wavelet analysis; Continuous wavelet transforms; Information entropy; Radar cross-sections; Time-frequency analysis; Wavelet analysis; Wavelet domain; micro-motion; multy-scale analysis; statistical distribution; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.281
  • Filename
    6682293