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
Link To Document :
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