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基于ε逼近算法的CDMA盲自适应多用户检测 被引量:5

Blind adaptive multiuser detection of CDMA using the ε-approximation algorithms
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摘要 把码分多址通信系统的盲多用户信号检测问题转化为一个带约束的二次规划问题,利用二次规划问题的e逼近算法给出了一种新的CDMA盲自适应多用户检测方法,仿真结果表明,该算法不但具有较强的多址干扰抑制性能,而且具有很快的收敛速度,对于时变信道特别适用。 This paper changes the problem of blind multiuser detection of the communication system of CDMA to a quadratic programming problem with some constraints, and gives a new method of blind adaptive multiuser detection for CDMA by solving the quadratic programming problem using the e-approximation algorithms. The simulation results show that the proposed method not only possesses stronger capability of suppressing interference, but also converges very quickly which implies that it is especially suitable for time varying channels.
出处 《通信学报》 EI CSCD 北大核心 2003年第6期36-43,共8页 Journal on Communications
基金 国家自然科学基金资助项目(60172058)
关键词 ε逼近算法 盲源分离 码分多址 盲多用户检测 e-approximation algorithms blind source separation CDMA blind multiuser detection
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参考文献10

  • 1徐长江,酆广增.基于高阶累积量的盲自适应多用户检测[J].电子学报,2000,28(7):48-50. 被引量:4
  • 2HONIG M, MADHOW U, VERDU S. Blind adaptive multiuser detectiion[J]. IEEE Trans Information Theory, 1995, 41(4):944-960.
  • 3MADHOW U. Blind adaptive interference suppression for direct-sequence CDMA[J]. Proceedings of the IEEE, 1998, 86(10):2049-2069.
  • 4WANG X, POOR H. Blind multiuser detection: a subspace approach[J]. IEEE Trans Information Theory, 1998, 44(2):677-690.
  • 5DING Z. Blind Equalization and Identification[M]. Marcel Dekker, Inc, 2001,1.
  • 6SESHADRI N. Joint data and channel estimation using blind trellis search techniques[J]. IEEE Tram Commu 1994, 42:1000-1011.
  • 7GHOSH M, WEBERr C. Maximum-likelihood blind equalization[J]. Optical Engineering, 1992, 1224-1228.
  • 8LI Q, BAI E, DING Z. Blind Source Separation with Given Alphabets Using ε-Approximation Algorithms[R]. Iowa City:Department of Electrical and Computer Engineering, University of Iowa, 2001.
  • 9YE Y. Approximating quadratic programming with bound and quadratic constrsints[J]. Math Program, 1991, 84:219-226,.
  • 10LI Q, BAI E, YE Y. Blind channel equalization and ε-approximation algorithms[J]. IEEE Transctions on Signal Processing 2001,49(11):2823-2831.

二级参考文献3

共引文献3

同被引文献21

  • 1苏锐,刘梦龙.第三代移动通信系统中的关键技术多用户检测[J].信息通信,2005,18(6):21-24. 被引量:1
  • 2张志涌,BAI Erwei.SIMO含公零点信道的直接盲序列检测[J].电子学报,2005,33(4):671-675. 被引量:23
  • 3孙永梅,李晖.数字通信系统中自适应均衡技术的研究[J].信息技术,2006,30(4):53-55. 被引量:12
  • 4Jiang M., Hanzo L. Multiuser MIMO-OFDM for next generation wireless systems[J ]. Proceedings of the IEEE, 2007,95 (7) : 1430 - 1469.
  • 5Boss D., Kammeyer K., Is blind estimation feasible in mobile communication systems? A study based on GSM [J]. IEEE JSAC, 1998, 16(8) :1479-1492.
  • 6Ergun C, Hacioglu K. Multiuser detection using a genetic algorithm in CDMA communications systems [J]. IEEE Trans on Commun,2000, 48(8) :1374 - 1383.
  • 7Li Qingyu,Bai Erwei,Ye Yinyu.Blind source separation of signals with known alphabets using-approximation algorithms[J].IEEE Transactions on Signal Processing,2003,51(1):1-10.
  • 8TANG J S.Conditions on blind source separability of linear FIR-MIMO system with binary inputs[J].International Journal of Computer Science,2008,3(4):257-260.
  • 9MA W K,SU C C,JALDEN J,et al.The equivalence ofsemidefinite relaxation MIMO detectors for higher-order QAM[J].IEEE Transactions on Signal Processing,2009,3(6):1038-1051.
  • 10RAM B T,RAJESH K P.Blind equalization for MIMO FIR channel in wireless communication systems[C].Kottayam,Kerala,International Conference on Advances in Recent Technologies in Communication and Computing,India,Artcom,2009:684-687.

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