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
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