DocumentCode :
2912253
Title :
New Bussgang methods for blind equalization
Author :
Filho, João B Destro ; Favier, Gérard ; Romano, João M Travassos
Author_Institution :
CNRS, Valbonne, France
Volume :
3
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
2269
Abstract :
This paper analyses Bussgang blind algorithms in terms of the minimization of an associated nonlinear cost function. Then, two new blind algorithms (modified decision directed and modified Bellini´s (1986)) are proposed and evaluated by computer simulation. The simulation results show the good behaviour of these new blind algorithms and that they converge faster than their standard counterparts. The Bussgang techniques are the oldest methods for blind channel equalization. These methods can be interpreted as stochastic gradient algorithms
Keywords :
adaptive equalisers; convergence of numerical methods; decision theory; minimisation; pulse amplitude modulation; stochastic processes; Bussgang blind algorithms; Bussgang methods; PAM signals; adaptive equalisers; blind channel equalization; computer simulation; convergence; modified Bellini algorithm; modified decision directed algorithm; nonlinear cost function minimization; simulation results; stochastic gradient algorithms; Blind equalizers; Cost function; Differential equations; Minimization methods; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.599504
Filename :
599504
Link To Document :
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