DocumentCode :
1491771
Title :
Analysis of composite walls and their effects on short-path propagation modeling
Author :
Holloway, Christopher L. ; Perini, Patrick L. ; DeLyser, Ronald R. ; Allen, Kenneth C.
Author_Institution :
Inst. for Telecommun., US Dept. of Commerce, Boulder, CO, USA
Volume :
46
Issue :
3
fYear :
1997
fDate :
8/1/1997 12:00:00 AM
Firstpage :
730
Lastpage :
738
Abstract :
For short-propagation paths, correctly representing reflections of electromagnetic energy from surfaces is critical for accurate signal-level predictions. In this paper, the method of homogenization is used to determine the effective material properties of composite materials commonly used in construction. The reflection coefficients for block walls and other types of materials calculated with these homogenized effective material properties are presented. The importance of accurately representing the reflections for signal-level prediction models is also investigated. It is shown that a 5-10-dB error in received signal strength (RSS) can occur if the composite walls are not handled appropriately. Such accurate predictions of signal propagation over a short distance is applicable to microcellular personal communications services deployments in urban canyons as well as indoor wireless private branch exchanges and local-area networks
Keywords :
UHF radio propagation; electromagnetic wave propagation; electromagnetic wave reflection; indoor radio; land mobile radio; personal communication networks; private telephone exchanges; wireless LAN; 900 MHz; block walls; composite walls; homogenization; indoor wireless private branch exchanges; local-area networks; material properties; microcellular personal communications services; received signal strength; reflections; short-path propagation modeling; signal-level predictions; urban canyons; Building materials; Composite materials; Concrete; Conducting materials; Electromagnetic modeling; Electromagnetic propagation; Electromagnetic reflection; Material properties; Optical reflection; Predictive models;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/25.618198
Filename :
618198
Link To Document :
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