A Novel Neural Network Blind Multi-user Detection Algorithm

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.

Cite this paper

@article{Fang2007ANN, title={A Novel Neural Network Blind Multi-user Detection Algorithm}, author={Shen Fang and Sun Yunshan and Zhang Liyi}, journal={2007 2nd IEEE Conference on Industrial Electronics and Applications}, year={2007}, pages={1547-1550} }