Hopfield neural network for UWB multiuser detection

被引：0

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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