• 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