DocumentCode :
349952
Title :
New neural Bussgang solutions applied to decision feedback blind equalizer
Author :
Chagra, W. ; Abdennour, R.B. ; Bouani, F. ; Ksouri, M. ; Favier, G.
Author_Institution :
Nat. Sch. of Eng., Univ. of the South, Gabes, Tunisia
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
389
Abstract :
In this paper, we propose new neural network-based Bussgang solutions reducing the number of equalizer tap delays. These solutions are directed to decision feedback equalizer structures. The two solutions perform decision feedback equalization well for linear and non-linear non-minimum phase channels if a suitable delay is retained. Modified Elman and Jordan neural network-based equalizers lead to the best performances
Keywords :
blind equalisers; delays; feedback; neural nets; telecommunication computing; Bussgang algorithms; Jordan neural nets; decision feedback blind equalizer; modified Elman network; neural networks; nonminimum phase channels; performance; tap delays; Adaptive equalizers; Blind equalizers; Decision feedback equalizers; Delay; Educational institutions; Finite impulse response filter; Laboratories; Neural networks; Neurofeedback; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
ISSN :
1062-922X
Print_ISBN :
0-7803-5731-0
Type :
conf
DOI :
10.1109/ICSMC.1999.815581
Filename :
815581
Link To Document :
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