Application of a genetic algorithm to Hopfield network multi-user detection

被引：0
|
作者：
Zhang, Y
Liu, HL
Kuang, F
Chen, J
机构：
来源：
2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2 | 2005年
关键词：
genetic algorithm; Hopfield neural network; multi-user detection; multiple access interference; near-far effect;
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 study, a hybrid approach that employs Hopfield network and a genetic algorithm for multi-user detection problem in Code Division Multiple Access system is proposed. The hybrid detection makes use of the global convergence advantage of the genetic algorithm to deal with the output of the Hopfield network detection. So the novel detection will not converge on the minimum of local energy function as the Hopfield network detection. And the computer simulation results show that this detection has good performance both in multiple-access interference resistance and near-far effect resistance.
引用
收藏
页码：644 / 647
页数：4
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