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
收藏
页码：778 / 782
页数：5
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