Title :
A Novel Neural Network Blind Multi-user Detection Algorithm
Author :
Shen Fang ; Sun Yunshan ; Zhang Liyi
Author_Institution :
Tianjin Univ. of Commerce, Tianjin
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;
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
DOI :
10.1109/ICIEA.2007.4318667
