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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICIST.2014.6920354
