DocumentCode
485251
Title
Blind multi-user detection based on Lagrange optimization neural network
Author
Wang Hong-bin ; Zhang Li-yi ; Wang Hua-kui ; Li Fu-ping
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
150
Lastpage
153
Abstract
A kind of Lagrange principle of optimizing neural network is sketched in the paper, it has overcome the traditional defect based on that the neural network which punish function thought exists deal with inequality restraint directly reduce network size and complexity a kind of new optimization neural network Based on the Lagrange neural network, proposed a kind of blind multi-user detection algorithm, and indicated through the computer simulation, this algorithm has the improvement in the error rate performance aspect, the convergence rate also obviously enhances.
Keywords
multiuser detection; neural nets; optimisation; telecommunication computing; Lagrange optimization; blind multiuser detection; computer simulation; error rate performance aspect; neural network; Convergence; Lagrange Neural Network; Multi-user Detection; Optimum Solution; Punish Function;
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
4786159
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