北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (3): 83-86.doi: 10.13190/jbupt.201203.83.shiw

• 研究报告 • 上一篇    下一篇

基于新拟牛顿法的自适应均衡技术

时伟   

  1. 1 中南大学 航空航天学院, 长沙 410083; 2中南大学 粉末冶金研究院, 长沙 410083
  • 收稿日期:2011-03-01 修回日期:2011-10-14 出版日期:2012-06-28 发布日期:2012-02-29
  • 通讯作者: 时伟 E-mail:ahshw@sina.com
  • 作者简介:时伟(1975-),男,博士后,讲师,E-mail:ahshw@csu.edu.cn
  • 基金资助:

    湖南省自然科学基金项目(11JJ3064);中南大学中央高校基本科研业务费专项项目(2011QNZT048);湖南省博士后科研专项计划项目(2011RS4074)

A New Adaptive Equalization Aimed at the Inter-Symbol-Interference Based on New Quasi-Newton Algorithm

SHI Wei   

  1. 1School of Aeronautics and Astranautics, Central South University, Changsha 410083, China;
    2Powder Metallurgy Research Institute, Central South University, Changsha 410083, China
  • Received:2011-03-01 Revised:2011-10-14 Online:2012-06-28 Published:2012-02-29
  • Contact: Wei SHI E-mail:ahshw@sina.com

摘要:

为了解决现代通信信道的码间干扰问题,提出了一种基于新拟牛顿法的自适应均衡算法,该算法用对称正定Hesse矩阵代替传统LMS/Newton法自相关矩阵的逆估计,克服了传统自相关矩阵估计误差对算法收敛性能的影响. 信道均衡仿真结果表明,该算法具有较快的收敛速度和较低的误码率.

关键词: 最小均方算法, 新拟牛顿法, 自适应均衡, 误码率

Abstract:

Solving the problem of algorithm in modern communication channel, a new method of quasiNewton least mean square adaptive equalization is proposed. By replacing inverse matrix calculation of LMS/Newton correlation function by symmetric positive-definite Hesse matrix, the proposed algorithm reduces the influence of traditional autocorrelation matrix estimate error for the algorithm convergence. Equalization simulation shows that higher convergence speed and lower bit error rate are obtained.

Key words: least mean square algorithm, new quasi-Newton algorithm, adaptive equalization, bit error rate

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