Subband decomposition techniques for adaptive channel equalisation

Hafizal Mohamad, S. Weiss, N.A.M. Arif, M.Y. Alias

Research output: Contribution to conferencePaper

6 Citations (Scopus)

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.

Conference

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

Fingerprint

Equalizers
Decomposition
Computer simulation

Keywords

  • subband
  • decomposition techniques
  • adaptive channel equalisation

Cite this

Mohamad, H., Weiss, S., Arif, N. A. M., & Alias, M. Y. (2005). Subband decomposition techniques for adaptive channel equalisation. 1-5. Paper presented at 13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC) , Kuala Lumpur, Malaysia. https://doi.org/10.1109/ICON.2005.1635574
Mohamad, Hafizal ; Weiss, S. ; Arif, N.A.M. ; Alias, M.Y. / Subband decomposition techniques for adaptive channel equalisation. Paper presented at 13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC) , Kuala Lumpur, Malaysia.5 p.
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Mohamad, H, Weiss, S, Arif, NAM & Alias, MY 2005, 'Subband decomposition techniques for adaptive channel equalisation' Paper presented at 13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC) , Kuala Lumpur, Malaysia, 16/11/05 - 18/11/05, pp. 1-5. https://doi.org/10.1109/ICON.2005.1635574

Subband decomposition techniques for adaptive channel equalisation. / Mohamad, Hafizal; Weiss, S.; Arif, N.A.M.; Alias, M.Y.

2005. 1-5 Paper presented at 13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC) , Kuala Lumpur, Malaysia.

Research output: Contribution to conferencePaper

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AU - Mohamad, Hafizal

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N2 - 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.

AB - 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.

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Mohamad H, Weiss S, Arif NAM, Alias MY. Subband decomposition techniques for adaptive channel equalisation. 2005. Paper presented at 13th IEEE International Conference on Networks/7th IEEE Malaysia International Conference on Communications (ICON/MICC) , Kuala Lumpur, Malaysia. https://doi.org/10.1109/ICON.2005.1635574