Multiuser detection in DS/CDMA systems using neural networks

被引：0
|
作者：
Shayesteh, MG [1 ]
Amindavar, H [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran 15914, Iran
来源：
2002 IEEE SEVENTH INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS, VOLS 1-3, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we analyze and examine the performance of multi-layer perceptron neural networks with back propagation learning rule as multiuser detectors of DS/CDMA signals in synchronous AWGN and fading channels. The results show a significant reduction in the receiver complexity in comparison with the previous studies while achieving the same performance. We compare neural network performance with the other detectors. We also apply cross entropy criterion in neural network and compare its performance with the back propagation method.
引用
收藏
页码：506 / 510
页数：5
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