• DocumentCode
    669798
  • Title

    A proposal of blind identification method based on over-sampling for AR-model

  • Author

    Tajima, Shinya ; Matsumoto, Hirokazu

  • Author_Institution
    Maebashi Inst. of Technol., Maebashi, Japan
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    146
  • Lastpage
    151
  • Abstract
    There is the over-sampling method which is one of the methods for realizing the blind identification. In the conventional method, the unknown system is assumed by FIR type and the estimation filter is used by FIR filter. However, we have the case which can not assume the unknown system to be FIR type. At the result, estimation performance of the conventional method is lower. Then, in this paper, as the first step, we assume AR type which is the simplest IIR type as the unknown system. And, we propose the blind identification method for AR model which is used as unknown system using oversampling method and we evaluate the identification performance by computer simulation.
  • Keywords
    FIR filters; IIR filters; autoregressive processes; blind source separation; AR-model; FIR filter; IIR type; blind identification; computer simulation; estimation filter; over-sampling; oversampling method; Communication systems; Computational modeling; Computer simulation; Estimation; Finite impulse response filters; Gaussian distribution; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
  • Conference_Location
    Naha
  • Print_ISBN
    978-1-4673-6360-0
  • Type

    conf

  • DOI
    10.1109/ISPACS.2013.6704537
  • Filename
    6704537