• DocumentCode
    2701221
  • Title

    High resolution radar target structure description using modified Prony model

  • Author

    Deng Lian Ping

  • Author_Institution
    Beijing Inst. of Technol.
  • Volume
    1
  • fYear
    1996
  • fDate
    20-23 May 1996
  • Firstpage
    231
  • Abstract
    This paper presents an approach to high resolution radar target structure description that exploits the relationship between the physical structure and the down-range cross section of the measured backscatter response. A modified Prony model is used to represent the radar backscatter signal measurements as a set of down-range scattering centers, each of which is characterized by its range, amplitude, and a polarization ellipse. The modified Prony model presented uses an algorithm of singular decomposition and an algorithm to automatically select the order of the model according to the radar measurement data processed. These algorithms can also remove the spurious scattering centers. The model is applied to full polarization, stepped frequency measurements of five aircraft models at different aspect angles. It is shown that this method provides a clear and robust description of radar target and has significant evaluation of performance in noise
  • Keywords
    backscatter; electromagnetic wave scattering; feature extraction; frequency estimation; frequency-domain analysis; inverse problems; radar computing; radar cross-sections; radar signal processing; radar target recognition; singular value decomposition; aircraft models; automatic target recognition; backscatter response; complex value data; down-range cross section; down-range scattering centers; feature vectors; frequency domain response; high resolution radar; inverse scattering problem; linear prediction coefficient; model order selection; modified Prony model; noise performance; polarization ellipse; radar target identification; radar target structure description; singular decomposition algorithm; spurious scattering centers removal; stepped frequency measurements; Aircraft; Art; Equations; Least squares approximation; Matrix decomposition; Radar measurements; Radar scattering; Radiofrequency interference; Rivers; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National
  • Conference_Location
    Dayton, OH
  • ISSN
    0547-3578
  • Print_ISBN
    0-7803-3306-3
  • Type

    conf

  • DOI
    10.1109/NAECON.1996.517648
  • Filename
    517648