DocumentCode
2648343
Title
An effective low-grazing reflection coefficient for modeling groundwave propagation over randomly rough terrain
Author
Liao, DaHan ; Sarabandi, Kamal
Author_Institution
Radiat. Lab., Univ. of Michigan, Ann Arbor, MI, USA
fYear
2009
fDate
1-5 June 2009
Firstpage
1
Lastpage
4
Abstract
In this study, in order to arrive at an analytical representation for the effects of terrain roughness on the near-ground channel, new closed-form expressions for the effective reflection coefficient are presented. The basis of the derivation is founded on the perturbation approach applied to a volumetric integral equation as introduced by Sarabandi and Chiu for remote sensing applications involving the modeling of the general scattering coefficients of rough surfaces with inhomogeneous dielectric profiles. Here, expressions for the coherent effective reflection coefficient are derived for the 2D problem; the accuracy of these expressions for excitation sources of vertical and horizontal polarizations is validated by comparing the simulation results to those obtained from the numerical solver outlined by Liao and Sarabandi (2008).
Keywords
electromagnetic wave propagation; integral equations; rough surfaces; closed form expression; coherent effective reflection coefficient; general scattering coefficients; groundwave propagation; inhomogeneous dielectric profile; low-grazing reflection coefficient; near-ground channel; perturbation approach; randomly rough terrain; remote sensing application; rough surfaces; terrain roughness; volumetric integral equation; Dielectrics; Integral equations; Polarization; Radio transmitters; Reflection; Rough surfaces; Shadow mapping; Statistics; Surface roughness; Surface waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location
Charleston, SC
ISSN
1522-3965
Print_ISBN
978-1-4244-3647-7
Type
conf
DOI
10.1109/APS.2009.5171756
Filename
5171756
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