• DocumentCode
    1713004
  • Title

    Adaptive phase equalization using all-pass filters

  • Author

    Farhang-Boroujeny, B. ; Nooshfar, S.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    1991
  • Firstpage
    1403
  • Abstract
    The feasibility of the application of all-pass filters (APFs) to channel equalization is studied. It is shown that the amplitude distortion of communication channels, which is known to be a function of the receiver timing phase, can be minimized by application of the available near-optimum timing recovery schemes. As a result, the contribution of the amplitude distortion to the resulting intersymbol interference (ISI) may be negligible as compared with that of the phase distortion. Under these conditions, the adaptive APFs may be effectively used for channel equalization. The general structure of two-dimensional adaptive phase equalizers is given and their corresponding LMS algorithm is also developed. Computer simulations confirm the unimodality of the performance surfaces of the phase equalizers in the region of convergence
  • Keywords
    adaptive filters; all-pass filters; equalisers; intersymbol interference; least squares approximations; two-dimensional digital filters; LMS algorithm; all-pass filters; amplitude distortion; channel equalization; communication channels; computer simulations; convergence; intersymbol interference; performance surfaces; receiver timing phase; timing recovery; two-dimensional adaptive phase equalizers; Adaptive equalizers; Adaptive filters; Communication channels; Computer simulation; IIR filters; Intersymbol interference; Least squares approximation; Nonlinear distortion; Phase distortion; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1991. ICC '91, Conference Record. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-0006-8
  • Type

    conf

  • DOI
    10.1109/ICC.1991.162235
  • Filename
    162235