A transiently chaotic neural-network implementation of the CDMA multiuser detector

被引：12

作者：

Wang, BY ^{[1
]}

Nie, JN

He, ZY

机构：

[1] Nanjing Univ Posts & Telecommun, Dept Informat Engn, Nanjing 210003, Peoples R China

[2] Southeast Univ, Natl Key Lab Mobile Commun, Nanjing, Peoples R China

[3] Southeast Univ, Dept Radio Engn, Nanjing 210096, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 1999年 / 10卷 / 05期

基金：

中国国家自然科学基金;

关键词：

bifurcation; multiuser detection; transiently chaotic neural network;

D O I：

10.1109/72.788665

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The complex dynamics of the chaotic neural networks makes it possible for them to escape from local minimum of the simple gradient descent neurodynamics. In this letter we use a transiently chaotic neural network to detect the CDMA multiuser signals and hence obtain an implementation scheme of the CDMA multiuser detector (TCNN-MD). Computer simulation results show that the proposed detector is clearly superior to Hoopfield neural-network-based detector.

引用

页码：1257 / 1259

页数：3

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