• DocumentCode
    2624438
  • Title

    A Novel Fuzzy Filtering Method to Faint Harmonic Signals in UWB System

  • Author

    Yang Ya-Tao ; Jiang Hua ; Fan Xiao-hong

  • Author_Institution
    Beijing Electron. Sci. & Technol. Inst., Beijing
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    308
  • Lastpage
    311
  • Abstract
    This paper discusses that fuzzy theory is applied to retrieve useful signal from strong jamming surroundings, it also addresses the feasibility of retrieving disturbed useful signal by using fuzzy filter. A new fuzzy filtering method is proposed for submersed useful harmonic signal under the background of powerful noises in this paper, faint target signal can be retrieved through this kind of new filter. Under the simulation environment, firstly, correlation-evenness way is utilized to eliminate the stochastic noise in the mixed signals; To the colored noise, self adaptive neural fuzzy elation system (ANFIS) approach is used to carry through fuzzy filtering. Study shows, original faint target signals still can be retrieved, even though in the condition of lower signal-to-noise ratio (SNR). Simulation examples have shown its effectiveness. A new way of retrieving useful signal in ultra wide band (UWB) wireless communication system is got.
  • Keywords
    filtering theory; fuzzy set theory; ultra wideband communication; UWB system; colored noise; fuzzy filtering method; harmonic signal; self adaptive neural fuzzy elation system; stochastic noise elimination; ultra wideband wireless communication system; Background noise; Colored noise; Filtering theory; Fuzzy systems; Jamming; Power harmonic filters; Power system harmonics; Signal to noise ratio; Stochastic systems; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.158
  • Filename
    4420278