• DocumentCode
    3354676
  • Title

    LPI Radar Sinyallerinin Ozimge Yaklasimi ile Siniflandirilmasi Classification of LPI Radar Signals via Eigenimage Approach

  • Author

    Kocaadam, Engin ; Özkcazanç, Yacup

  • Author_Institution
    MGEO Grubu, ASELSAN A.¿. P.K. 30, 06011 Etlik / Ankara. ekadam@mgeo.ase1san.com.tr
  • fYear
    2007
  • fDate
    11-13 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Low Probability of Intercept (LPI) Radar signals have the property of wide bandwidth, low peak power to make them difflcult to be detected by Electronic Support Measures (ESM) receivers. In this study, the detection performances of LPI Radar signals with Wigner-Ville Distributions are examined by treating each distribution as an image. The classification can be performed with an image processing algorithm, eigenimage approach over Wigner - Ville Distributions.
  • Keywords
    Bandwidth; Doppler radar; Frequency; Image processing; Power measurement; Principal component analysis; Pulse compression methods; Radar detection; Radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • Conference_Location
    Eskisehir
  • Print_ISBN
    1-4244-0719-2
  • Electronic_ISBN
    1-4244-0720-6
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298644
  • Filename
    4298644