• DocumentCode
    405218
  • Title

    The improvement of prediction method for time-domain blind identification of multichannel FIR filters

  • Author

    Xu, Zing ; Peng, Qicong ; Li, Yubai

  • Author_Institution
    Inst. of Commun. & Inf. Eng, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2003
  • fDate
    21-24 Sept. 2003
  • Firstpage
    546
  • Abstract
    The concept of linear estimation for SIMO systems was first presented by Slock (1994). Later a linear prediction channel identification algorithm was developed by Abe-Meraim et al. (1995). This blind channel identification algorithm uses only second order statistics, so it´s a breakthrough in this field and has been cited frequently by others. But the simulation of the algorithm developed by Abe-Meraim et al. (1995) shows that the channel couldn´t be identified because there is still needs other condition, which couldn´t be got for knowing nothing about the channel in the whole blind condition. This paper will analyze this algorithm and point out the reason that results in the failure of channel identification; and give the improved method that can resolve the problem in the digital communication system.
  • Keywords
    FIR filters; blind equalisers; digital communication; prediction theory; time-domain analysis; SIMO systems; digital communication system; linear estimation; linear prediction channel identification algorithm; multichannel FIR filters; second order statistics; time-domain blind channel identification; Additive noise; Algorithm design and analysis; Equalizers; Failure analysis; Finite impulse response filter; Higher order statistics; Polynomials; Prediction algorithms; Prediction methods; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2003. APCC 2003. The 9th Asia-Pacific Conference on
  • Print_ISBN
    0-7803-8114-9
  • Type

    conf

  • DOI
    10.1109/APCC.2003.1274417
  • Filename
    1274417