DocumentCode :
1302905
Title :
Green´s function refinement as an approach to radar backscatter: general theory and applications to LGA scattering from the ocean
Author :
Shaw, William T. ; Dougan, Andrew J.
Author_Institution :
Oxford Syst. Solutions, Oxford, UK
Volume :
46
Issue :
1
fYear :
1998
fDate :
1/1/1998 12:00:00 AM
Firstpage :
57
Lastpage :
66
Abstract :
We present a new approach to the computation of radar returns from dielectric bodies whose boundary is the deformation of a plane surface. The method relies on combining a systematic improvement in the Green´s function with a good approximate choice of local boundary condition. In this paper, the general theory is presented together with a simple application where the Green´s function is that for a lossy dielectric half-space. We derive the root radar cross section (RCS) for a statistical surface and the mean backscatter RCS for a rough surface. We explore the applications to low-grazing-angle (LGA) scattering from statistical surfaces with an ocean-like spectrum and demonstrate that such a model explains some of the previously unexplained LGA phenomena, such as the absolute and relative levels of the vertical (VV) and horizontal (HH) channel RCS measurements
Keywords :
Green´s function methods; backscatter; electromagnetic wave scattering; ocean waves; radar cross-sections; remote sensing by radar; Green´s function refinement; LGA scattering; deformation; general theory; horizontal channel RCS measurements; local boundary condition; lossy dielectric half-space; low-grazing-angle scattering; mean backscatter RCS; ocean; ocean-like spectrum; plane surface; radar backscatter; radar returns; root radar cross section; rough surface; statistical surface; vertical channel RCS measurements; Backscatter; Boundary conditions; Dielectric losses; Green´s function methods; Radar cross section; Radar scattering; Rough surfaces; Sea measurements; Sea surface; Surface roughness;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/8.655451
Filename :
655451
Link To Document :
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