Optimal Hopfield Neural Network and Application for Multi-User Detection

被引：0

作者：

Wang Hongbin ^{[1
]}

Zhang Li-yi ^{[2
]}

机构：

[1] Xinzhou Teachers Univ, Dept Comp Sci, Xinzhou, Peoples R China

[2] TianJin Univ Commerce, Coll Informat Engn, Tianjin, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS | 2009年

关键词：

Near-Far Effect; Energy function; Object function; Bit error rate; Penalty function;

D O I：

10.1109/ICCSN.2009.113

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Hopfield neural network without learning rules, not need training, and not self-learning, to adjust weight by the design process of Lyapunov function, generalized penalty function is combined with the energy function of Hopfield neural network, a more suitable structure of the new objective function is built based on the minimal average output energy norm, An improved Hopfield neural network method of achieving DS/CDMA blind multi-user detection is discussed. Simulation results show that that the algorithm significantly improved in bit error rate and anti-near-far effect.

引用

页码：567 / +

页数：2

共 50 条

[1] Application of a genetic algorithm to Hopfield network multi-user detection
Zhang, Y
Liu, HL
Kuang, F
Chen, J
2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2, 2005, : 644 - 647
[2] Control parameters selection in stochastic hopfield neural network multi-user detector
Li, Dengao
Zhao, Jumin
Zhou, Ruisong
Journal of Information and Computational Science, 2009, 6 (03): : 1635 - 1639
[3] Quantum neural network for CDMA multi-user detection
Li, F
Zhao, SM
Zheng, BY
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2005, 3498 : 338 - 342
[4] Multi-user detection of CDMA signals using Hysteretic Hopfield Neural Networks
Soujeri, EA
Bilgekul, H
8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL III, PROCEEDINGS: COMMUNICATION AND NETWORK SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2004, : 464 - 469
[5] The neural network multi-user detection based on MMSE
Li, Yanpin
Peng, Jisheng
Wang, Huakui
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5896 - 5900
[6] A Neural Network Blind Multi-user Detection Algorithm
Li He
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL II, 2009, : 467 - 470
[7] A software simulation testbed for multi-user detection based on modified Hopfield network
Manai, N
Ben Ayed, R
Bouallegue, R
ISCCSP : 2004 FIRST INTERNATIONAL SYMPOSIUM ON CONTROL, COMMUNICATIONS AND SIGNAL PROCESSING, 2004, : 335 - 338
[8] Novel neural network blind multi-user detection algorithm
Shen Fang
Sun Yunshan
Zhang Liyi
Li Yanqin
Li He
ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 1547 - +
[9] Optimal multi-user MISO solution with application to multi-user orthogonal space division multiplexing
Pan, ZG
Wong, KK
Ng, TS
57TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, VTC 2003-SPRING, VOLS 1-4, PROCEEDINGS, 2003, : 262 - 266
[10] Multi-user detection in MC-CDMA systems and unsupervised neural network: Why?
Carlier, F
Nouvel, F
ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2003, : 1336 - 1339

← 1 2 3 4 5 →