DocumentCode
2803882
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
fYear
2006
fDate
3-6 Sept. 2006
Firstpage
734
Lastpage
738
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Symposium, 2006 International
Conference_Location
Fortaleza, Ceara
Print_ISBN
978-85-89748-04-9
Electronic_ISBN
978-85-89748-04-9
Type
conf
DOI
10.1109/ITS.2006.4433369
Filename
4433369
Link To Document