• DocumentCode
    1113712
  • Title

    Power spectrum of wind-influenced vegetation backscatter at X-band

  • Author

    Narayanan, R.M. ; Doerr, D.W. ; Rundquist, D.C.

  • Author_Institution
    Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
  • Volume
    141
  • Issue
    2
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    125
  • Lastpage
    131
  • Abstract
    The baseband power spectral density characteristics of X-band radar backscatter from wind-influenced vegetation were investigated using a short-range continuous wave radar system. Radar reflectance and concurrent wind-speed data were gathered from various individual trees from a distance of approximately 30 m. The power spectral density was observed to drop off at a rate slower than the widely-used single-peak Gaussian model. An empirical model which characterises the power spectrum as a combination of Gaussian functions with different peak locations is proposed. The model postulates that (i) the spectral broadening of the central peak is attributable to branch sway, (ii) the location of non-central peaks is attributable to leaf flutter, and (iii) the spectral broadening of the non-central peaks is attributable to a combination of branch sway and leaf flutter. The model shows satisfactory agreement with measured data. It is shown that realistic estimates of MTI improvement factors for delay-line cancellers can be obtained by knowledge of the type of vegetative clutter environment
  • Keywords
    backscatter; radar clutter; radar systems; remote sensing by radar; spectral analysis; wind; 30 m; Gaussian functions; MTI improvement factors; X-band; baseband power spectral density; branch sway; continuous wave radar system; delay-line cancellers; distance; empirical model; leaf flutter; measured data; power spectrum; radar backscatter; radar reflectance; short-range radar; spectral broadening; trees; vegetative clutter environment; wind-influenced vegetation backscatter; wind-speed data;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:19949893
  • Filename
    295458