• DocumentCode
    306685
  • Title

    Blind system identification and channel equalization for IIR systems

  • Author

    Bai, Erwei ; Minyue Fui

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    1896
  • Abstract
    A novel approach is proposed to blindly identify an unknown infinite impulse-response (IIR) system. The methods presented are linear in parameters of the unknown system so that many standard recursive algorithms can readily be applied. It is also shown in the paper that under a generic condition, any finite order IIR system is identifiable provided the over-sampling ratio is high enough
  • Keywords
    digital communication; equalisers; error statistics; identification; poles and zeros; recursive estimation; sampled data systems; telecommunication channels; IIR systems; blind system identification; channel equalization; infinite impulse-response; over-sampling ratio; recursive algorithms; sampled data systems; zero order hold; Blind equalizers; Communication channels; Finite impulse response filter; IIR filters; Least squares approximation; Sampling methods; Signal generators; Signal processing; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.572852
  • Filename
    572852