DocumentCode
3446111
Title
A Novel Neural Network Blind Multi-user Detection Algorithm
Author
Shen Fang ; Sun Yunshan ; Zhang Liyi
Author_Institution
Tianjin Univ. of Commerce, Tianjin
fYear
2007
fDate
23-25 May 2007
Firstpage
1547
Lastpage
1550
Abstract
Blind multi-user detection (BMUD) is a key technology in CDMA to improve communication quality. This paper introduced FNN (feed-forward neural network) to BMUD algorithm. It combined FNN with CMA algorithm, constructed a cost function, optimized FNN weights and parameters by LMS and then realized BMUD. Compared with traditional CMA blind multi-user algorithm, simulation results indicate new algorithm improves the performances in bit-error ratio, following ability and soon.
Keywords
code division multiple access; error statistics; feedforward neural nets; multiuser detection; CDMA; CMA algorithm; bit-error ratio; blind multi-user detection algorithm; feedforward neural network; Industrial electronics; Multiuser detection; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318667
Filename
4318667
Link To Document