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