Title :
Accelerating the convergence of the widely linear LMS algorithm for channel equalization
Author :
De Aquino, Francisco J A ; da Rocha, Carlos A F ; Resende, Leonardo S.
Author_Institution :
Fed. Univ. of Santa Catarina, Santa Catarina
Abstract :
In this paper, we investigate the use of some classical techniques for accelerating the convergence of the LMS algorithm in widely linear (WL) adaptive processing. The application of channel equalizing is considered. Simulation results permit to verify that the normalized LMS strategy presents the best performance as far as a reduction of the trade-off between the convergence rate and steady-state error is concerned.
Keywords :
adaptive signal processing; convergence of numerical methods; equalisers; least mean squares methods; LMS algorithm; channel equalization; convergence; steady-state error; widely linear adaptive processing; Acceleration; Adaptive equalizers; Convergence; Educational technology; GSM; Least squares approximation; Quadrature amplitude modulation; Robustness; Statistics; Steady-state; Adaptive filtering; LMS algorithm; variable step-size strategies; widely linear processing;
Conference_Titel :
Telecommunications Symposium, 2006 International
Conference_Location :
Fortaleza, Ceara
Print_ISBN :
978-85-89748-04-9
Electronic_ISBN :
978-85-89748-04-9
DOI :
10.1109/ITS.2006.4433369
