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
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