A neural network approach to MMSE receivers in a DS-CDMA multipath fading environment

被引：4

作者：

Fantacci, R ^{[1
]}

Tarchi, D ^{[1
]}

Marini, M ^{[1
]}

Rabbini, A ^{[1
]}

机构：

[1] Univ Florence, Dept Elect & Telecommun, I-50139 Florence, Italy

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2006年 / 54卷 / 05期

关键词：

code-division multiple access (CDMA); least-mean square (LMS) methods; multiuser channels; multiuser detection (MUD); neural networks;

D O I：

10.1109/TCOMM.2006.874011

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This letter deals with an advanced minimum mean-squared error receiver for applications to uplink transmissions in a multiuser code-division multiple-access system. The receiver is implemented by means of a suitable neural network in order to enhance the receiver convergence speed in the case of fast fading. Performance comparisons with classical approaches highlights a better behavior for the proposed scheme.

引用

页码：778 / 782

页数：5

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