Title :
Subband decomposition techniques for adaptive channel equalisation
Author :
Mohamad, Hafizal ; Weiss, Stephan ; Arif, Nor Azhar Mohd ; Alias, Mohamad Yusoff
Author_Institution :
Fac. of Eng., Multimedia Univ., Malaysia
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.
Keywords :
adaptive equalisers; channel estimation; adaptive channel equalisation; adaptive linear equaliser; convergence behaviour; subband decomposition techniques; Adaptive equalizers; Adaptive filters; Bandwidth; Computational complexity; Computational modeling; Convergence; Decision feedback equalizers; Eigenvalues and eigenfunctions; Intersymbol interference; Least squares approximation;
Conference_Titel :
Networks, 2005. Jointly held with the 2005 IEEE 7th Malaysia International Conference on Communication., 2005 13th IEEE International Conference on
Print_ISBN :
1-4244-0000-7
DOI :
10.1109/ICON.2005.1635574