[1]GAO Hong-yuan,CHAI Xiao-hui,DIAO Ming,et al.Study of multiuser detection technology based on immune evolutionary programming[J].CAAI Transactions on Intelligent Systems,2007,2(2):78-82.
Copy

Study of multiuser detection technology based on immune evolutionary programming

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 2 Page number: 78-82 Column: 学术论文—智能系统 Public date: 2007-04-25
Title:
Study of multiuser detection technology based on immune evolutionary programming
Author(s):
GAO Hong-yuan1; CHAI Xiao-hui2; DIAOMing1; JIA Zong-sheng1
1. College of Information and Communication Engineering, Harbin Engineering Uni versity, Harbin 150001, China;
2. College of Automation, Harbin Engineering Univ ersity, Harbin 150001, China
Keywords:
multiuser detection;  evolutionary programming;  immune system;  Hopfie ld neural network
CLC:
TN914，TP18
DOI:
-
Abstract:
By introducing the information processing mechanism of artificial immu ne systems and neural network system into evolutionary programming (EP) algorith m, an immune evolutionary programming（IEP）is proposed. IEP constructs new immu ne operator by preparing vaccines with stochastic Hopfield neural network. The p roposed IEP is a hybridization of the EP with new immune operator, and it reduce s the computational complexity by providing faster convergence and improving the performance of EP. Then a novel multi-user detector based on IEP is designed fo r code division multiple access communication systems. Simulation results show t hat the proposed detector not only converges to global optimal solution quickly, but is also superior to conventional multiuser detector in the capabilities o f resistance to multiple access interference and nearfar effect. 
References:
［1］ VERDU S. Minimum probability of error for asyn chronous Gaussian multiple access channels［J］.IEEE Trans Info Theory,1986,32(1):85-96.
［2］ERGUN C, HACIOGLU K. Multiuser detection using a genetic algorithm in CDMA communications systems［J］.IEEE Trans Commun ,2000, 48(8): 1374-1383.
［3］LIM H S. Multiuser detection for DSCDMA systems using evolutionary progr amming［J］.IEEE Communications Letters, 2003,7(3):101-103.
［4］赵 莹,郑君里.采用粒子集群算法的DSCDMA多用户检测［J］.清华大学学报 ,2004,44(6):840-842.
 ZHAO Ying, ZHENG Junli. Multiuser detection using the particle swarm optimizatio n algorithm in DSCDMA communication systems ［J］.Journal of Tsinghua Universi ty, 2004,44(6):840-842.
［5］王 磊,潘 进,焦李成.免疫算法［J］.电子学报,2000,28(7):74-78.
WANG Lei, PAN Jin, JIAO Licheng.The immune algorithm［J］. Acta Electronica Sini ca, 2000,28(7):74-78.
【6］KECHRIOTIS G I，MANOLAKOS E S. Hopfield neural network implementatio n of the optimal CDMA multiuser detector ［J］.IEEE Transactions on Neural Networks，199 6, 7(1): 131-141.
Similar References:

Memo

-

Last Update: 2009-05-06

Copyright © CAAI Transactions on Intelligent Systems