DocumentCode
1200919
Title
Microcellular Propagation Prediction Model Based on a Geometric Progression Approximation-Process
Author
Dimitriou, Antonis G. ; Sergiadis, George D.
Author_Institution
Dept. of Electr. & Comput. Eng., Thessaloniki Univ.
Volume
55
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
969
Lastpage
977
Abstract
A new propagation prediction model, suitable for an antenna placed below rooftop level in an urban environment is presented. It is shown that the contribution of various arriving rays at a specific location can be well approximated by a set of geometric progressions. Each progression is associated with a source. Then, estimation is delivered as soon as the leading term and the ratio have been computed. The ratio reflects the significance of secondary ray-paths. It depends on the geometry and the electromagnetic properties of the materials within the "street canyon." In contrast to typical semi-deterministic approaches, detailed information on the power, the time of arrival and the angle of arrival of all significant components is delivered. Consequently, wideband characterization of the environment is accomplished at short running-time. High accuracy is experimentally verified in a typical urban configuration
Keywords
antennas; approximation theory; direction-of-arrival estimation; electromagnetic wave propagation; microcellular radio; prediction theory; time-of-arrival estimation; angle of arrival; antenna; electromagnetic property; geometric progression approximation-process; microcellular propagation prediction model; time of arrival; urban environment; wideband characterization; Antennas and propagation; Electromagnetic propagation; Electromagnetic scattering; Information geometry; Physical theory of diffraction; Predictive models; Ray tracing; Solid modeling; Transmitters; Wideband; Diffraction; propagation modeling; radiocoverage; ray tracing; uniform theory of diffraction (UTD); urban areas;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2007.891813
Filename
4120248
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