Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

EFFECT OF THE SURFACE CORRELATION LENGTH ON MICROWAVE FORWARD REFLECTION FROM A RANDOMLY ROUGH LOSSY DIELECTRIC SURFACE

Authors
Park, SinmyongOh, Yisok
Issue Date
2015
Publisher
IEEE
Keywords
Forward reflection coefficient; randomly rough surface; correlation length; RMS height; radiative transfer model
Citation
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), pp.708 - 710
Journal Title
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Start Page
708
End Page
710
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/28246
ISSN
2153-6996
Abstract
The effect of the surface correlation length on forward reflection from a randomly rough lossy dielectric surface is examined in this paper. At first, the accuracies of the forward reflection models were examined using the moment method (MM). The physical optics (PO) approximation has commonly used to compute the forward reflection coefficient of a randomly rough surface, in which an exponential function of a surface roughness parameter and incidence angle is multiplied to Fresnel reflection coefficient. Another model was proposed by Miller and Brown (MB Model), in which an additional term of modified Bessel function is multiplied to the PO model. The accuracies of those two models were examined based on the moment method solution for various value of kh(rms) where k is wavenumber and h(rms) is the surface RMS(root-mean-square) height. We found that MB model is more accurate for large kh(rms) values. Those models do not include the effect of surface correlation length, where the MM solution shows the effect clearly. Therefore, we examined the effect of correlation length on the reflection coefficients of randomly rough lossy dielectric surfaces using the MM technique.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE