期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一种改进的变步长双模算法研究 被引量：1

An improved variable step-size normalized modified constant modulus algorithm and decision-directed algorithm
下载PDF
导出
摘要 在对常模算法(CMA)和改进常模算法(MCMA)的研究基础上,提出了一种改进的变步长双模算法(Variable Step-size MCMA-DD)。改进算法通过误差信号自动地调节步长,从而调节算法的收敛速度。通过仿真表明,改进算法具有与MCMA-DD算法相近的误码性能,但是很大程度地加快了算法的收敛速度。 In this paper, an improved variable step-size MCMA-DD algorithm is introduced based on the study of CMA and MCMA. By changing step-size factor in terms of error signal automatically, the improved algorithm can adjust the convergence speed. The computer simulation shows that the improved algorithm has similar error performance with MCMA-DD algorithm, while it accelerates the convergence speed tremendously.
作者 喻超 李辉明 史乃辉 赵晓群
机构地区 同济大学电子与信息工程学院
出处 《燕山大学学报》 CAS 2009年第1期72-76,共5页 Journal of Yanshan University
关键词 盲均衡 常模算法 改进常模算法-判决引导算法 收敛速度 blind equalization constant Modulus algorithm MCMA-DD （Modified Constant Modulus Algorithm/Decision- Directed Algorithm） onvergence speed
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献9

  • 1Sato Y. A method of self-recovering equalization for multilevel amplitude-modulation systems [J]. IEEE Transactions on Communications, 1975,23 (6): 679-682.
  • 2Godard D N. Self-recovering equalization and carrier tracking in-two-dimensional data communication systems [J]. IEEE Transactions on Communications, 1980,28 (11): 1867-1875.
  • 3Kil Nam Oh, Yong Ohk Chin. New blind equalization techniques based on constant modulus algorithm [C] //IEEE Global Telecommunications Conference, Singapore, 1995: 865-869.
  • 4Lin J C.Blind equalization technique based on an improved constant modulus adaptive algorithm [C] //Proc IEE, 2002: 45-50.
  • 5Hanjian M, Femandes J, Cunha P, et al.. Adaptive equalization for mobile communication systems based on constant modulus algorithm [C] //IEEE Vehicular Technology Conference, 2001: 1609-1613.
  • 6Seokho Yoon, Sang Won Choi, Jumi Lee, et al.. A novel blind equalizer based on dual-mode MCMA and DD algorithm [C] //6th Pacific Rim Conference on Multimedia, Jeju Island, Korea, 2005: 711-722.
  • 7MacchiO, EwedaE. Convergenceanalysisofself-adaptive equalizer [J]. IEEE Trans Inform Theory, 1984,30 (2): 161-176.
  • 8Picchi G, Prati G. Blind equalization and carrier recovery using a "stop-and-go" decision-directed algorithm [J]. IEEE Transactions on Communications, 1987,35 (9): 877-887.
  • 9Shalvi O, Weinstein E. New criteria for blind deconvolution of nonminimum phase systems (channels) [J]. IEEE Trans Inform Theory, 1990,36 (2): 312-321.

同被引文献11

  • 1ZHANG Li-yi, CHEN Lei, SUN Yun-shan.Variable step-size CMA blind equalization based on non-linear function of error signal[C]//Proc of International Conference on Communications and Mobile Computing.Piscataway:IEEE Press,2009:396-399.
  • 2ZIPF J G F, TOBIAS O J, SEARA R.A VSSLMS algorithm based on error autocorrelation[C]//Proc of the 16th European Signal Proces-sing Conference.Piscataway:IEEE Press,2008:25-29.
  • 3GOUPIL A, PALICOT J.An efficient blind decision feedback equali-zer[J].Communications Letters,2010,14(5):462-464.
  • 4ZHU Ting-ting, JIAO Xiao-tao.The constant norm algorithm based on the soft decision feedback equalizer[C]//Proc of the 7th International Conference on Wireless Communications, Networking and Mobile Computing.Piscataway:IEEE Press,2011:1-3.
  • 5SHAHMOHAMMADI M, KAHAEI M H.A new dual-mode approach to blind equalization of QAM signals[C]//Proc of the 8th IEEE Inter-national Symposium on Computers and Communication.Piscataway:IEEE Press,2003:277-281.
  • 6PAKHIRA M K, BANDYOPADHYAY S, MAULIK U.Validity index for crisp and fuzzy clusters[J].Pattern Recognition,2004,37(3):487-501.
  • 7郭业才,朱婕.基于选择性合并频率分集的多载频盲均衡算法[J].舰船科学技术,2009,31(2):121-123. 被引量：3
  • 8侯健,王华奎.一种基于星座图聚类的MQAM识别方法[J].无线电通信技术,2009,35(3):35-38. 被引量：11
  • 9朱文婕,吴楠,胡学钢.一个改进的模糊聚类有效性指标[J].计算机工程与应用,2011,47(5):206-209. 被引量：15
  • 10薛伟,杨小牛,张朝阳.一种新的双模盲均衡算法[J].计算机仿真,2011,28(3):166-169. 被引量：4

引证文献1

二级引证文献2

燕山大学学报
2009年 第1期

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