期刊文献+

基于CDMA系统的低复杂度预均衡技术

Modified low complexity pre-equalization in CDMA system
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摘要 面对复杂的无线信道干扰,提出一种低复杂度的频域预均衡技术,即迫零频域预均衡(zero-forcing frequency domain pre-equalization,ZF Pre-FDE)。应用基于此技术的收发器能够消除频率选择性信道带来的干扰效应,在传输误码率方面也较传统收发器有所改善。通过计算机仿真比较了所选方法与传统方法在同样环境中的误码率,仿真结果表明,基于此均衡技术的收发器能够很好地改善系统误码性能,利用奇异值分解,降低了实现的复杂度。 Facing the complex wireless channel interference ,a modified method was proposed ,namely zero-forcing frequency do-main pre-equalization (ZF Pre-FDE) ,which can eliminate the effect of interference brought by the frequency selective channel used in transceivers of the system .The bit error rate (BER) was compared among the proposed method and traditional methods . An simulation example was presented to prove that the proposed equalization technique can improve the BER performance better , and using singular value decomposition (SVD) ,the complexity is reduced ,consequently demonstrates the feasibility of the tech-nique and the effectiveness of the algorithm .
出处 《计算机工程与设计》 CSCD 北大核心 2014年第10期3373-3379,共7页 Computer Engineering and Design
基金 国家自然科学基金项目(61240042)
关键词 无线信道 预均衡 迫零 频率选择性 奇异值分解 wireless channel pre-equalization zero-forcing frequency selectivity singular value decomposition
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参考文献11

  • 1Li Y, McLaughlin S, Wei X, et al. Channel estimation and interference cancellation in CP-CDMA systems [J]. Communi- eations, IET, 2007, 1 (1): 106-112.
  • 2Korndee B, Sangaroon O, Benjangkaprasert C. Performance analysis of parallel interference cancellation in cyclic-prefix CD- MA [C] //International Conference on Information and Elec- tronics Engineering, 2011.
  • 3王国珍,刘毓.无线通信系统中的MIMO空时编码技术[J].现代电子技术,2011,34(19):31-33. 被引量:4
  • 4Al-kamali F S, Dessouky M I, Sallam B M, et al. Perfor- mance evaluation of cyclic prefix CDMA systems with frequency domain interference cancellation [J]. Digital Signal Processing, 2009, 19 (1): 2-13.
  • 5McWhirter J G, Baxter P D, Cooper T, et al. An EVD algo- rithm for Para-Hermitian polynomial matrices [J]. IEEE Transactions on Signal Processing, 2007, 5 (5): 2158-2169.
  • 6You Weizhi, Yi Lilin, Hu Weisheng. Reduced complexitymaximum-likelihood detection for MIMO-OFDM systems [-C] //8th International Conference on Digital Object Identifier, 2012: 1-3.
  • 7Holger Busche, Alexandre Vanaev. Hermann rohling SVD- based MIMO preceding and equalization schemes for realistic channel knowledge: Design criteria and performance evaluation [J]. Wireless Personal Communications, 2009, 48 ( 3 ): 347-359.
  • 8胡宇.分布式MIMO信号检测技术研究[D].西安:西安电子科技大学,2011.
  • 9Lin Huajiong Tang Youxi Shao Shihai.AN IMPROVED AND EFFICIENT DETECTION SCHEME FOR V-BLAST SYSTEMS WITH QAM MODULATION[J].Journal of Electronics(China),2008,25(5):588-594. 被引量:1
  • 10袁晖坪.行(列)对称矩阵的奇异值分解[J].中北大学学报(自然科学版),2009,30(2):100-104. 被引量:14

二级参考文献25

  • 1田志友,吴瑞明,王浣尘.基于奇异值分解的权重计算、一致性检验与改进[J].上海交通大学学报,2005,39(10):1582-1586. 被引量:11
  • 2高晓飞,罗进文,毕研珍.无线通信中的分层空时编码技术[J].信息通信,2006,19(2):39-42. 被引量:1
  • 3刘朝阳,沈保锁,付晓梅.基于空时分组码的多输入多输出系统仿真实现[J].电子测量技术,2006,29(5):145-147. 被引量:5
  • 4Cohen L.Time-frequency Analysis[M].Englewood Cliffs:Prentice-Hall,1995.
  • 5程云鹏,张凯院,徐仲.矩阵论[M].第2版.西安:西北工业大学出版社,2000:225-233.
  • 6De Moor B.General izations of OSVD:Structures.properties and applications[c].In:Vaecaro R.ed.SVD and Signal Processing,II:Algorithms,Analysis and Applications.Netherlands:Elsevier Science Publishers,1991.
  • 7GESBERT David, SHIU Da-shan. From theory to practice: an overview of MIMO space-time coded wireless systems [J]. IEEE Journal on Selected Areas in Communications, 2003, 21(3) :281-302.
  • 8Sanjay Kumar Sharma, Dr S. Naseem Ahmad. Performance of MIMO space-time coded wireless communication systems [J]. IEEE Journal on Computer Society, 2007, 135: 373-378.
  • 9秦兆华.关于次对称矩阵与反次对称矩阵[J].西南师范学院学报:自然科学版,1985,5(1):100-110.
  • 10Vucetic B,Yuan J H.空时编码技术[M].王晓海,等译.北京:机械工业出版社,2004.

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