DocumentCode
1294064
Title
Near- and Far-Field Models for Scattering Analysis of Buildings in Wireless Communications
Author
Ouattara, Y.B. ; Mostarshedi, S. ; Richalot, E. ; Wiart, J. ; Picon, O.
Author_Institution
ESYCOM Lab., Univ. Paris-Est Marne-la-Vallee, Marne-la-Vallée, France
Volume
59
Issue
11
fYear
2011
Firstpage
4229
Lastpage
4238
Abstract
This paper presents an efficient building modeling for urban propagation prediction. By dividing the whole computation area into near and far zones, two different models are adopted for buildings. As demonstrated for a building facade, a precise description of the heterogeneities is necessary for an observation point situated in the building near field, whereas in the far-field area, a good accuracy is maintained by homogenizing the facade electric properties. Therefore, in the far area, a homogenized reflection coefficient is taken for each facade, and a radar cross section (RCS) is calculated for one or a set of far buildings, taking the multiple reflections into account. In a near area, the simulator can apply the classical ray-tracing code using the detailed facade description while taking account of far building groups through their RCS. The distance of homogenization and RCS validity is obtained using a reference method based on Green´s functions.
Keywords
Green´s function methods; electromagnetic wave propagation; electromagnetic wave reflection; electromagnetic wave scattering; radar cross-sections; Green functions; building facade; far-field models; homogenized reflection coefficient; near-field models; observation point; radar cross section; ray-tracing code; scattering analysis; urban propagation prediction; wireless communications; Diffraction; Electric fields; Green´s function methods; Permittivity; Reflection; Windows; Multiple reflection; propagation prediction model; radar cross section (RCS); urban environment;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2011.2164182
Filename
5979148
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