[1]高洪元,柴晓辉,刁 鸣,等.基于免疫进化规划的多用户检测技术研究[J].智能系统学报,2007,2(2):78-82.
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.
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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.
基于免疫进化规划的多用户检测技术研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第2期
页码:
78-82
栏目:
学术论文—智能系统
出版日期:
2007-04-25
- Title:
- Study of multiuser detection technology based on immune evolutionary programming
- 文章编号:
- 1673-4785(2007)02-0078-05
- 关键词:
- 多用户检测; 进化规划; 免疫系统; Hopfield神经网络
- 分类号:
- TN914，TP18
- 文献标志码:
- A
- 摘要:
- 把人工免疫系统和神经网络系统的信息处理机制引入到进化规划算法（EP）,提出了免疫进化规划算法.所提IEP通过使用随机Hopfield神经网络制备疫苗构成新的免疫算子，把新的免疫算子结合到进化规划中，不仅加快了进化规划的收敛速度，并提高了进化规划的全局收敛能力.然后在CDMA系统利用此算法设计了新的多用户检测器.仿真结果证明了该方法能够快速收敛到全局最优解，并且无论抗多址干扰和抗远近效应能力都优于传统方法和一些应用优化算法的多用户检测器.
- 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 multiuser detector in the capabilities o f resistance to multiple access interference and nearfar effect.
- 参考文献/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 DSCDMA 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DSCDMA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 DSCDMA 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.
备注/Memo
收稿日期：2006-04-07.
基金项目：哈尔滨市科学研究基金资助项目（2005AFXXJ033）
作者简介：
高洪元，男，1977年生，讲师，主要研究方向为智能计算和通信信号处理 .E-mail:gaohongyuan@hrbeu.edu.cn.
柴晓辉，女,1976年生，硕士研究生，主要研究方向为伺服控制. 刁鸣，男，1960年出生，教授，主要研究方向为宽带信号检测、处理与识别及空间谱估计理论研究. E-mail: diaoming@hrbeu.edu.cn.
更新日期/Last Update:
2009-05-06