DocumentCode
2662251
Title
Statistical analysis of the UWB channel in an industrial environment
Author
Karedal, Johan ; Wyne, Shurjeel ; Almers, Peter ; Tufvesson, Fredrik ; Molisch, Andreas F.
Author_Institution
Dept. of Electroscience, Lund Univ., Sweden
Volume
1
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
81
Abstract
In this paper, we present a statistical model for the ultra-wideband (UWB) channel in an industrial environment. Based on a set of measurements in a factory hall, we find that the abundance of metallic scatterers causes dense multipath scattering. This can be seen to produce mostly a Rayleigh distributed small-scale fading signal, with only a few paths exhibiting Nakagami distributions. For the power delay profile, we suggest a generalization of the Saleh-Valenzuela model where clusters with different excess delays have different ray power decay constants; the decay constants follow a linear dependence on the delay. This model provides an excellent fit to the measured data. We also note that for non-line-of-sight scenarios at larger distances, several hundred multipath components need to be collected to capture 50% of the available energy.
Keywords
Rayleigh channels; electromagnetic wave scattering; indoor radio; microwave propagation; multipath channels; statistical analysis; ultra wideband communication; 3.1 to 10.6 GHz; Nakagami distributions; Rayleigh distributed small-scale fading signal; Saleh-Valenzuela model; UWB channel; dense multipath scattering; factory hall; industrial environment; metallic scatterers; nonline-of-sight scenarios; power delay profile; ray power decay constants; statistical analysis; Bandwidth; Delay; Frequency measurement; Nakagami distribution; Narrowband; Production facilities; Rayleigh channels; Rayleigh scattering; Statistical analysis; Ultra wideband technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1399930
Filename
1399930
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