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基于免疫算法的MC-CDMA多用户检测研究 被引量:3

Multi-user detection for MC-CDMA using immune algorithm
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摘要 MC-CDMA是目前最新的移动通信系统,它极大地提高了通信速率和抗频率选择性衰落的性能,但由于受到多址干扰的影响,必须采用多用户检测技术.该文提出了一种基于免疫算法的多用户检测方法,有效消除了多址干扰和远近效应的影响,并能够快速收敛到全局最优解.实验仿真结果表明,基于免疫算法的多用户检测方法无论在信噪比、远近比还是用户数目变化时,其性能均优于同等条件下的解相关和最小均方方法,更接近于最佳多用户检测性能,而且运行时间明显小于最佳多用户检测. MC-CDMA is a newest mobile telecommunication system combining with OFDM and CDMA. It greatly improves the transmission rate and avoids the frequency selective fading. Because of the influence of MAI, it is necessary to use the multi-user detection technology. Thereby, the paper proposes a new multi-user detection method based on immune algorithm, which effectively eliminates the multi access interference and near-far effect, and quickly converges to global optimal solution. According to experimental and simulation results, it is proved that, when the signal/noise ratio, near/far ratio and the number of users vary, the new detecting method is superior to decorrelation method and minimal mean square method, nearly reaching the optimal detecting performance with computing time much less than multi-user detection method.
出处 《应用科技》 CAS 2008年第5期4-8,共5页 Applied Science and Technology
关键词 MC-CDMA 多用户检测 免疫算法 解相关 最小均方 MC-CDMA Multi-user detection immune algorithm PE MMSE
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  • 1许良凤,胡敏.基于遗传退火算法的解相关多用户检测器[J].合肥工业大学学报(自然科学版),2004,27(5):579-582. 被引量:6
  • 2[3]Belllcore S M. Multiuser detection for DS-CDMA communications[J].IEEE Communications Maganize,1996,34(10):124-135.
  • 3[4]Kechriotis G, Manolakos E S. Hopfield neural network implementation of the optimal CDMA multiuser detector[J].IEEE Trans on Neural Networks,1996,7(1):131-141.
  • 4[5]Jiao L C, Wang L. A novel genetic algorithm based on immunity[J].IEEE Trans On Systems Man and Cybernetics-Part A: Systems and Humans,2000,30(5):552-561.
  • 5[7]Zhang B A, Bernd P P, Orsak G. Neural networks for multiuser detection in code-division multiple-access communications[J].IEEE Trans on Commun,1992,40:1 212-1 222.
  • 6[8]Verdu S. Minimum probability of error for asynchronous gaussian multiple access channels[J].IEEE Transaction on Information Theory,1986,32(1):85-96.
  • 7[1]Yee N,Linnarlz J P,Fellweis P.Multicarrier CDMA in indoor wireless radio networks[A].In:Proc oI IEEE PIMRC'93[C].Yokohama.Japan.1993-09:109-113.
  • 8[2]Hara S,Prasad R.Overview of Multicarrier CDMA[J].IEEE CommunicationMagazine,1997,35(12):126-133.
  • 9[3]S.Verdu.Multiuser Detection[M].Cambridge,UK:Cambridge Univ Press,1998.
  • 10[4]Schneider K.S.Optimum detection of code division multiplexed signals[J].IEEE Trans.Aeros.Electron.Syst.,AES-15(1),1979,Jan.pp.181-185.

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  • 1蒋贵全,聂永萍.DFT-SOFDM系统的导频辅助信道估计方法[J].压电与声光,2007,29(2):227-229. 被引量:1
  • 2HARA Shinsuke,PRASAD Ramjee.Design and performance of multicarrier CDMA system in frequencyselective rayleigh fading channels[J].IEEE Transactions on Vehicular Technology,1999,48(5):1 584-1 595.
  • 3BARBARY K E I,ALNEYADI H M.Comparison of the behavior of MMSE detection scheme for DS-CDMA and MC-CDMA[C].Second IFTP International Conference,2005:490-495.
  • 4KENNEDY J,EBERHART R.Particle swarm optimization[C].Proceedings of the IEEE International Conference on Neural Networks,1995:1 942-1 948.
  • 5HARA Shinsuke,PRASAD Ramjee.Design and Performance of Multicarrier CDMA System in Frequency-Selective Rayleigh Fading Channels[J].IEEE Transactions on Vehicular Technology,1999,48(5):1584-1595.
  • 6Kechriotis,Manolakos G.Hopfield Neural Network Implementation of the Optimal CDMA Multiuser Detection[J].IEEE Transactions on Neural Networks,1996,7(1):131-141.
  • 7Khairy EI.Barbary,Hamed M.Alneyadi.Comparison of the Behavior of MMSE Detection Scheme for DS-CDMA and MC-CDMA[C].Second IFTP International Conference 2005:490-495.
  • 8Verdu S.Minimum probabity of error for asynchronous gaussian multiple-access channel[J].IEEE Trans Inf Theory, 1986, 32 (1) : 86-96.
  • 9Lin D,Xu Y Y, Song W T,et al.Genetic algorithm based multiuser detection for CDMA systems[C]//IEEE 6th CAS Syrup on Emerging Technologies : Mobile and Wireless Comm, 2004,5 : 321-324.
  • 10赵泽睿,胡玉兰.改进的混合遗传算法在多用户检测技术中的应用[J].沈阳理工大学学报,2007,26(2):71-74. 被引量:1

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