• DocumentCode
    315806
  • Title

    A novel blind equalization structure for deep null communication channels

  • Author

    Lambotharan, S. ; Chambers, J.A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    2
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    1101
  • Abstract
    A new blind equalization structure that is well suited for communication channels whose zeros are close to the unit circle is proposed. Most blind equalizers which operate at the baud rate perform poorly for channels whose maximum phase zeros are close to the unit circle. This limitation is mainly due to the inability to model the inverse of such maximum phase zeros with a finite length filter. Our proposed structure adaptively models the inverse channel, completely, without the need to transmit a training sequence. Therefore Inter Symbol Interference (ISI) is removed even if the channel has deep spectral nulls. Another attractive feature of this structure is that it estimates the channel parameters directly, and as such may be used with “indirect” equalization techniques. Simulation studies are included to demonstrate the performance of the scheme
  • Keywords
    FIR filters; adaptive equalisers; digital communication; intersymbol interference; telecommunication channels; adaptive model; baud rate; blind equalization structure; channel parameter estimation; deep null communication channels; deep spectral nulls; intersymbol interference; inverse channel; maximum phase zeros; Blind equalizers; Communication channels; Finite impulse response filter; IIR filters; Intersymbol interference; Inverse problems; Poles and zeros; Polynomials; Signal processing; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
  • Print_ISBN
    0-7803-3583-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.1997.621948
  • Filename
    621948