• DocumentCode
    2135407
  • Title

    Performance Comparison of Time-Frequency Analysis Methods for Radar Signature Analysis

  • Author

    Choi, In-Sik ; Rhee, Ill-Keun

  • Author_Institution
    Dept. of Electron. Eng., Hannam Univ., Daejeon, South Korea
  • Volume
    2
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    24
  • Lastpage
    27
  • Abstract
    In this paper, four different time-frequency analysis techniques are applied to the scattering analysis of radar targets. Short-time fourier transform (STFT), continuous wavelet transform (CWT), adaptive wavelet transform (AWT) and evolutionary AWT (EAWT) are applied to scattering analysis. The two scattering phenomenon which are important for radar target signature analysis are scattering centers and resonance frequencies. In the simulation using wire target (Caravelle-like) data, the comparisons of four different time-frequency analysis techniques are presented. The results show that the EAWT is the best technique to analyze the scattering centers and resonance frequency simultaneously.
  • Keywords
    Fourier transforms; radar signal processing; radar target recognition; scattering; time-frequency analysis; wavelet transforms; CWT; STFT; adaptive wavelet transform; continuous wavelet transform; evolutionary AWT; radar signature analysis; radar target scattering analysis; scattering phenomenon; short-time fourier transform; time-frequency analysis methods; Analytical models; Continuous wavelet transforms; Fourier transforms; Performance analysis; Radar scattering; Resonance; Resonant frequency; Time frequency analysis; Wavelet analysis; Wavelet transforms; Evolutionary AWT; Radar Signature Analysis; Time-Frequency Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3431-2
  • Type

    conf

  • DOI
    10.1109/FGCN.2008.6
  • Filename
    4734166