DocumentCode :
485270
Title :
A neural network blind equalization algorithm based on variable momentum factor
Author :
Liyi Zhang ; Haiqing Cheng ; Yu Bai ; Ting Liu ; Yunshan Sun
Author_Institution :
Coll. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
229
Lastpage :
232
Abstract :
The influence of momentum term to blind equalization algorithm was analyzed in this paper. A new neural network blind equalization algorithm based on variable momentum factor was proposed, which adopted the non-linear function of mean square error as the variable momentum factor. The simulation shows that the new algorithm has faster convergence rate, smaller state residual error and lower bit error rate.
Keywords :
blind equalisers; error statistics; mean square error methods; neural nets; telecommunication computing; bit error rate; convergence rate; mean square error; neural network blind equalization algorithm; nonlinear function; state residual error; variable momentum factor; Blind Equalization Algorithm; Momentum Term; Neural Network; Variable Momentum Factor;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
Conference_Location :
Shanghai
ISSN :
0537-9989
Print_ISBN :
978-0-86341-836-5
Type :
conf
Filename :
4786179
Link To Document :
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