Hopfield neural network for UWB multiuser detection

被引:0
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作者
Department of Electrical Engineering, National Formosa University, Taiwan [1 ]
不详 [2 ]
不详 [3 ]
机构
来源
WSEAS Trans. Commun. | 2009年 / 7卷 / 578-587期
关键词
Direct sequence - Hopfield - Mathematical analysis - Maximum likelihood detectors - Multiuser environments;
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摘要
The Hopfield neural network (HNN) is introduced in the paper and is proposed as an effective multiuser detection in direct sequence-ultra-wideband (DS-UWB) systems. It can approximate to maximum likelihood (ML) detector by mathematical analysis. According to the HNN-based technique, the computer simulation results show that they have good performances and much lower computational complexity in a multiuser environment.
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