DocumentCode :
579161
Title :
Statistical characterization of UWB propagation channel in ship cabin environment
Author :
Zhai, Shijun ; Jiang, Ting ; Li, Dejian ; Li, Bin
Author_Institution :
Key Lab. of Universal Wireless Commun., BUPT, Beijing, China
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
6386
Lastpage :
6390
Abstract :
This paper presents a statistical characterization of Ultra-Wideband (UWB) channel for ship cabin environment based on measurements carried out in the frequency-domain and covered the frequency band of 6-9GHz. According to the results of measurement, it is observed that rays arrive in clusters, so we describe the multipath propagation with the classical S-V model. The main purpose is to study multipath propagation behavior, particularly the phenomenon of clustered multipath components. An efficient cluster automatic identification algorithm based on wavelet analysis is employed for clusters identification of the discrete UWB channel impulse responses (CIRs). Then, the statistical characterizations of multi-path components (MPCs) are examined. Finally, simulation results of the proposed statistical model are compared to measured data demonstrating reasonable agreement. The results are helpful to model the UWB propagation channel in such environment.
Keywords :
frequency-domain analysis; marine communication; multipath channels; ships; statistical analysis; ultra wideband communication; wireless channels; UWB propagation channel; classical S-V model; cluster automatic identification algorithm; clustered multipath components; discrete UWB channel impulse responses; frequency 6 GHz to 9 GHz; frequency-domain; multipath propagation behavior; ship cabin environment; statistical characterization; statistical model; ultra-wideband channel; wavelet analysis; Antenna measurements; Channel models; Delay; Frequency measurement; Marine vehicles; Ultra wideband technology; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364682
Filename :
6364682
Link To Document :
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