• DocumentCode
    113905
  • Title

    New evaluation algorithm for anti-jamming capability of wireless communication equipment based on 2-tuple linguistic information

  • Author

    Chenfei Xiao ; Jianzhong Chen ; Yingtao Niu

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. &Tech, Nanjing, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    156
  • Lastpage
    159
  • Abstract
    Anti-jamming capability of wireless communication equipment is discussed widely in recent years. In the light of fuzzy characteristic in capability evaluation, a new evaluation measure for Anti-jamming (AJ) capability, which is based on the 2-tuple linguistic information and maximum deviation weight algorithm, is proposed in this paper. Firstly, the AJ indicator system for wireless communication equipment is constructed. Each index is represented by 2-tuple fuzzy linguistic representation model, considering the fuzzy characteristic of the index. Secondly, a method for determining weight is put forward, based on analysis of the deviation among indices. Finally, the AJ capability is computed by using the weight geometry mean algorithm (WGM). The illustrative example proves that it is an effective method to evaluate AJ capability exactly, and it also avoids the subjectivity caused by experience.
  • Keywords
    geometry; indicators; jamming; linguistics; radio equipment; telecommunication computing; 2-tuple fuzzy linguistic representation model; 2-tuple linguistic information; AJ indicator system; WGM; antijamming capability evolution algorithm; deviation analysis; fuzzy characteristic; maximum deviation weight algorithm; weight geometry mean algorithm; wireless communication equipment; Algorithm design and analysis; Geometry; Indexes; Pragmatics; Signal to noise ratio; Vectors; Wireless communication; 2-tuple linguistic information; Capability evaluation; indicator system; maximum deviation; weight geometry mean algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920354
  • Filename
    6920354