Subband decomposition techniques for adaptive channel equalisation

Hafizal Mohamad, Stephan Weiss, Nor Azhar Mohd Arif, Mohamad Yusoff Alias

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)
513 Downloads (Pure)

Abstract

In this contribution, the convergence behaviour of the adaptive linear equaliser based on subband decomposition technique is investigated. Two different subband-based linear equalisers are employed, with the aim of improving the equaliser's convergence performance. Simulation results over three channel models having different spectral characteristic are presented. Computer simulations indicate that subband-based equalisers outperform the conventional fullband linear equaliser when channel exhibit severe spectral dynamic. Convergence rate of subband equalisers are governed by the slowest subband, whereby different convergence behaviour in each individual subband is observed. Finally, the complexity of fullband and subband equalisers is discussed.
Original languageEnglish
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 18 Nov 2005
Event13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC) - Kuala Lumpur, Malaysia
Duration: 16 Nov 200518 Nov 2005

Conference

Conference13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC)
Country/TerritoryMalaysia
CityKuala Lumpur
Period16/11/0518/11/05

Keywords

  • subband
  • decomposition techniques
  • adaptive channel equalisation
  • computational modeling
  • least squares approximation
  • adaptive filters

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