• DocumentCode
    2995963
  • Title

    A parametric model with frequency dependence for radar imaging and recognition

  • Author

    Wang, Jun ; Wang, Ling ; Han, Yu

  • Author_Institution
    Inst. of Electron. Eng., China Acad. of Eng. Phys., Mianyang, China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    125
  • Lastpage
    127
  • Abstract
    This paper shows that the scattered field data collected by using a radar with narrow bandwidth and small aspect angle sector is suitable to fast and handy radar imaging and recognition. For conditions of low-resolution radar a parametric model for 2-D radar target is described according to the theory of electromagnetic scattering and the geometrical theory of diffraction. A high-resolution estimation algorithm to extract the model parameters is developed by building the relation of the scattering model and Prony model. The simulated analysis shows that the accurate extraction of the diffraction coefficient of scattering center is restricted by SNR, radar center frequency and bandwidth
  • Keywords
    electromagnetic wave scattering; geometrical theory of diffraction; image recognition; radar imaging; target tracking; 2D radar target; Prony model; SNR; aspect angle sector; bandwidth; diffraction coefficient; electromagnetic scattering; frequency dependence; geometrical theory of diffraction; high-resolution estimation algorithm; image recognition; low-resolution radar; model parameters; parametric model; radar center frequency; radar imaging; scattered field data; scattering center; scattering model; Bandwidth; Electromagnetic scattering; Frequency dependence; Image recognition; Parametric statistics; Physical theory of diffraction; Radar imaging; Radar scattering; Radar theory; Scattering parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    0-7803-6253-5
  • Type

    conf

  • DOI
    10.1109/APCCAS.2000.913422
  • Filename
    913422