哈尔滨工业大学学报（英文版）2008，Vol.15Issue(4)：553-557,5.
ROLS-AWS algorithm used in RBF neural network for multi-user detection
ROLS-AWS algorithm used in RBF neural network for multi-user detection
WANG Yong-jian 1ZHAO Hong-lin1
作者信息
- 1. The Research Center on Communications, Harbin Institute of Technology, Harbin 150001, China
- 折叠
摘要
Abstract
To improve the computational speed, the ROLS -AWS algorithm was employed in the RBF based MUD receiver. The radial basis function was introduced into the multi-user detection (MUD) firstly. Then a three-layer neural network demodulation spread-spectrum signal model in the synchronous Gauss channel was given and the multi-user detection receiver was analyzed intensively. Simulations by computer illustrate that the proposed RBF based MUD receiver employing the ROLS-AWS algorithm is better than conventional detectors and common BP neu-ral network based MUD receivers on suppressing multiple access interference and near-far resistance. 关键词
multi-user detection (MUD)/RBF neural network/ROLS-AWS algorithmKey words
multi-user detection (MUD)/RBF neural network/ROLS-AWS algorithm分类
信息技术与安全科学引用本文复制引用
WANG Yong-jian,ZHAO Hong-lin..ROLS-AWS algorithm used in RBF neural network for multi-user detection[J].哈尔滨工业大学学报（英文版）,2008,15(4):553-557,5.
