• DocumentCode
    232005
  • Title

    A simulation model for ship-to-ship rayleigh fading channels

  • Author

    Junfeng Wang ; Yue Cui ; Shexiang Ma ; Xin Meng ; Jianfu Teng

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    1692
  • Lastpage
    1697
  • Abstract
    Accurate modeling of the ship-to-ship (S2S) fading channels is critical not only to the shipborne automatic identification system design but also to the verification and performance evaluation of other maritime wireless communication systems. The statistical properties of S2S fading channels are quit different from either the terrestrial-based mobile communication channels or the typical fixed-to-mobile maritime radio channels, thereby requiring new methods for their simulation. This paper for the first time proposes a two-ring model to simulate the S2S local scttering environment and develops a statistical sum-of-sinusoids simulator for Rayleigh fading. The new model has a lower mean square error of the auto-correlation and cross-correlation functions, i.e., the statistical properties almost converge to the desired ones. In addtion, this model yields adequate statistics with only 15 simulation runs.
  • Keywords
    Rayleigh channels; correlation theory; marine communication; mean square error methods; statistical analysis; S2S local scttering environment; auto-correlation function; cross-correlation function; fixed-to-mobile maritime radio channel; maritime wireless communication system; mean square error; ship-to-ship Rayleigh fading channel; shipborne automatic identification system design; simulation model; statistical property; statistical sum-of-sinusoid; terrestrial-based mobile communication channel; two-ring model; Computational modeling; Correlation; Manganese; Mathematical model; Numerical models; Rayleigh channels; Rayleigh fading; Ship-to-ship fading channel; Statistical property; Sum-of-sinusoids channel simulation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015283
  • Filename
    7015283