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一种适合多径信道的盲多用户检测方法 被引量:3

A Blind Multi-user Detection Algorithms Suitable for Multi-path Channel
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摘要 多径衰落信道下的盲自适应多用户检测算法的运算复杂度通常都比较高,文章提出了一种适用于多径衰落信道的基于Lagrange人工神经网络的盲自适应多用户检测算法,仿真试验表明该算法在多径衰落信道下仍具有接近于单径信道的检测性能,且计算复杂度低于目前存在的同类算法。 The computational complexity of the blind adaptive multi-user detection algorithm with multi-path fading channel is usually high.In the paper,a blind adaptive multi-user detector that is suit for multi-path fading channel based on Lagrange Neural Network is presented.The simulation results show the detection performances in multi-path are also close to them in single-path.,and computational complexity is lower than the conventional detection algorithms.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第16期156-157,195,共3页 Computer Engineering and Applications
基金 山西省自然科学基金资助项目(编号:20041044)
关键词 盲自适应多用户检测 MOE准则 人工神经网络 blind adaptive multi-user detection, MOE crlterion,Neural Network
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  • 1郭大均.非线性泛函分析[M].济南:山东科技出版社,1985..
  • 2Michel, A.N., Miller, R.K. Qualitative Analysis of Large Scale Dynamical Systems. New York: Academic Press, 1977.
  • 3LaSalle, J. P. The Stability of Dynamical Systems. Philadelphia, PA: SIAM, 1976.
  • 4Kinderlerer, D., Stampcchia, G. An Introduction to Variational Inequalities and Their Applications. New York: Academic Press, 1980.
  • 5Zhang, S., Constantinides, A.G. Lagrange programming neural networks. IEEE Transactions on Circuits and Systems, 1992,39(4): 441~452.
  • 6Kennedy, M.P., Chua, L.O. Neural networks for nonlinear programming. IEEE Transactions on Circuits and Systems, 1988,35(5): 554~562.
  • 7Luenberger, T. D. Linear and Nonlinear Programming. 2nd ed., Reading, MA: Addison-Wesley Publishing Company, 1984.
  • 8Hopfield, J.J., Tank, D.W. Neural computation of decisions in optimizations problems. Biology. Cybernation, 1985,52(1):141~152.
  • 9Hertz, J., Krogh, A., Palmer, R.G. Introduction to the Theory of Neural Computation. Reading, MA: Addison-Wesley Publishing Company, 1991.
  • 10Xia, Y. Neural network for solving extended linear programming problems. IEEE Transactions on Neural Networks, 1997,8(3):803~806.

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同被引文献20

  • 1陈艳丽,王华奎,李霞,李艳萍.一种基于Lagrange神经网络的盲多用户检测器[J].太原理工大学学报,2004,35(5):550-553. 被引量:2
  • 2王永刚,焦李成.基于随机Hopfield神经网络的最优多用户检测器[J].电子学报,2004,32(10):1630-1634. 被引量:11
  • 3黄远灿.Lagrange神经网络的稳定性分析[J].控制与决策,2005,20(5):545-548. 被引量:4
  • 4钱小聪,郑宝玉,贾孝德.基于NLMS的CDMA盲自适应多用户检测算法研究[J].信号处理,2006,22(6):912-916. 被引量:2
  • 5Fantacci R,Mancini L,Tarchi D.Multiuser interference mitigation in multipath fading channels using a neural network based blind receiver[J].IEEE Trans Circ Syst, 2003,50(8) :488-492.
  • 6Jeney G,Levendovszky 3,Kovacs L.Blind adaptive stochastic neural network for multiuser detection[J].IEEE Trans Commun,2001,6(1): 1868-1872.
  • 7Liu Shu-bao,Wang Jun.Blind adaptive multiuser detection using a recurrent neural network[J].IEEE Trans Commun, 2004,7 (4) : 1071- 1705.
  • 8Peng Pei-yuan.An efficient multi-user detection algorithm for direct sequence code division muliple access by using neural network[C]//IEEE International Conference on Communications,2001, 1 : 36-40.
  • 9Eldar Y C,Oppenheim A V.Orthogonal multiuser detection[J].Signal Processing, 2002,82 : 321-325.
  • 10Perreau S L,White L B.Nonlinear iterative multiuser detection and equalization for CDMA receivers in the presence of interchip interference[J].Digital Signal Processing, 2001( 11 ) : 94-109.

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