Title :
Transform Domain MMA
Author :
Gholami, Mohammad Reza ; Nader-Esfahani, Said
Author_Institution :
Sch. of Electr. & Comput. Eng., Tehran Univ.
Abstract :
In this paper we consider the blind equalization in the transform domain. For blind equalization, multimodulus algorithm (MMA), which is known to be very efficient, is used. To improve the rate of convergence, we used the band-partitioning property of transform domain (TD). In fact, the TD causes the channel output samples to be uncorrelated and this increases the rate of convergence. Also, to further improve the rate of convergence, an optimal time variant step size is used. Simulation results are presented to show the fast convergence of the proposed blind equalizer
Keywords :
blind equalisers; convergence; signal sampling; telecommunication channels; band-partitioning property; blind equalization; channel output sample; convergence rate; multimodulus algorithm; optimal time variant step size; transform domain MMA; Blind equalizers; Circuits; Convergence; Cost function; Discrete cosine transforms; Educational institutions; Eigenvalues and eigenfunctions; Fast Fourier transforms; Frequency; Stochastic processes;
Conference_Titel :
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9283-3
DOI :
10.1109/ICICS.2005.1689184
