• DocumentCode
    3111149
  • Title

    Wavelet detection of low observable targets within sea clutter

  • Author

    Davidson, G. ; Griffiths, H.

  • Author_Institution
    Univ. Coll. London, UK
  • fYear
    2002
  • fDate
    15-17 Oct. 2002
  • Firstpage
    238
  • Lastpage
    242
  • Abstract
    We observe scattering events in the Doppler domain via a continuous wavelet transform (CWT). By minimising the uncertainty in velocity and time, the dominant event in the non-stationary instantaneous Doppler spectrum can be isolated. Considering the returns to be discrete in nature leads to a physically motivated detection statistic termed ´persistence´ that measures the observed lifetime of the scatterers. A Doppler detection scheme is formulated at low velocities within the clutter spectrum, an area neglected by current Doppler filtering. When operated on real data containing an oil drum target, results appear to be complementary to simple intensity thresholding; this suggests detection is made on secondary effects such as wake disturbance.
  • Keywords
    Doppler effect; backscatter; electromagnetic wave scattering; oceanographic techniques; radar clutter; radar detection; wakes; wavelet transforms; Doppler detection; Doppler domain; Doppler filtering; backscatter; clutter spectrum; continuous wavelet transform; detection statistic; intensity thresholding; low observable targets; low velocity; nonstationary instantaneous Doppler spectrum; oil drum target; persistence; real data; scatterer lifetime measurement; scattering events; sea clutter; sea surface; wake disturbance; wavelet detection; Backscatter; Continuous wavelet transforms; Fourier transforms; Frequency; Layout; Radar scattering; Sea measurements; Sea surface; Statistics; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    RADAR 2002
  • Conference_Location
    Edinburgh, UK
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-750-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2002.1174689
  • Filename
    1174689