期刊文献+

一种基于约束最小四阶矩的盲自适应多用户检测方法 被引量:2

An Adaptive Blind Multiuser Detection Based on Constraint Least Mean Fourth
在线阅读 下载PDF
导出
摘要 基于约束最小四阶矩(LeastMean Fourth,LMF)准则,提出了一种新的高阶统计类型的盲多用户检测方法.通过理论分析和证明,采用此准则的盲多用户检测算法能够收敛于全局最小值,且该极值点符合多用户信号迫零解相关的要求.利用最速下降梯度方法,文中给出了盲自适应LMF接收机形式.该多用户接收机具有运算复杂度低,收敛性能好的特点.在AWGN信道和多用户环境中的仿真结果进一步验证了理论分析的结论. In CDMA system,a constrained least mean fourth (LMF) criterion is proposed to construct a multiuser detection algorithm. The criterion is proven to have global minima in AWGN environment, and these stationary points can all decorrelate the multiuser signal as expected. The algorithm is a higher-order statistics type approach. Furthermore, an adaptive multiuser detector is obtained by using the method of the steepest descent. The detector has the virtues of global convergence and low computational complexity. In AWGN channel and multiuser environment, the simulation is studied and its results further demonstrate theoretic conclusion.
作者 郑霖 欧阳缮
出处 《电子学报》 EI CAS CSCD 北大核心 2006年第9期1631-1634,共4页 Acta Electronica Sinica
基金 国家自然科学基金(No.60432040 60372037)
关键词 盲多用户检测 最小四阶矩 多址干扰 码分多址 blind multiuser detection least mean fourth MAI CDMA
  • 相关文献

参考文献7

  • 1M L Honig,Upamanyu Madhow,Sergio Verdu.Blind adaptive multiuser detection[J].IEEE Transactions on Information Theory,1995,41(4):944-960.
  • 2M L Honig.Orthogonally anchored blind interference suppression using the sato cost criterion[A].Proc of IEEE Int Symp on Inf Theory[C].CA:IEEE Press,1995,314.
  • 3J Miguez,L Castedo.A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression[J].IEEE Communication Letters,1998,2(8):217-219.
  • 4Changjiang Xu,Guangzeng Feng.Comments on a linearly constrained constant modulus approach to blind adaptive multiuser interference suppression[J].IEEE Communication Letters,2000,4(9):280-282.
  • 5唐祖强,杨知行,潘长勇.基于LMK准则的盲自适应多用户检测器[J].电子学报,2000,28(4):40-42. 被引量:4
  • 6O Tanrikulu,A G Gonstantinides.The LMK algorithm with time varying forgetting factor for adaptive system identification in additive output noise[A].Proc of IEEE ICASSP-96[C].New York,USA:IEEE Press,1996,3:1850-1853.
  • 7E Walach,B Widrow.The least mean fourth (LMF) adaptive algorithm and its family[J].IEEE Transactions on Information Theory,1984,it-30(2):275-283.

二级参考文献6

共引文献3

同被引文献8

  • 1Tanrikulu O,Gonstantinides A G.The LMK algorithm with time varying forgetting factor for adaptive system identification in additive output noise. Proceedings of IEEE International Conference on Acoustics,Speech,and Signal Processing . 1996
  • 2Miguez J,Castedo L.A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression. IEEE Communications Letters . 1998
  • 3E Walach,B Widrow.The Least Mean Fourth(LMF) adaptive algorithm and its family. IEEE Transactions on Information Theory . 1984
  • 4C. B. Papadias.Globally convergent blind source separation based on a multiuser kurtosis maximization criterion. IEEE Transactions on Signal Processing . 2000
  • 5T.Miyajima."Blind adaptive detection using differential CMA for CDMA systems[J],". IEICE Transactions A . 2000
  • 6J.B.Whitehead,F.Takawira."Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector,". IEEE Transactions on Signal Processing . 2005
  • 7Solo, V,and X. Kong.Adaptive Signal Processing Algo-rithms: Stability and Performance. . 1995
  • 8唐祖强,杨知行,潘长勇.基于LMK准则的盲自适应多用户检测器[J].电子学报,2000,28(4):40-42. 被引量:4

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部