电子学报 ›› 2018, Vol. 46 ›› Issue (6): 1482-1487.DOI: 10.3969/j.issn.0372-2112.2018.06.030

• 学术论文 • 上一篇    下一篇

基于组合代价函数的双模式盲均衡新算法

肖瑛, 崔艳秋   

  1. 大连民族大学信息与通信工程学院, 辽宁大连 116600
  • 收稿日期:2016-12-05 修回日期:2017-06-07 出版日期:2018-06-25 发布日期:2018-06-25
  • 作者简介:肖瑛,女,1979年生于河北省隆化县.大连民族大学教授,研究方向为盲信号处理、智能信息处理和时频处理技术.E-mail:xiaoying@126.com;崔艳秋,女,1977年生于吉林省柳河县.大连民族大学副教授,研究方向为图像处理和智能信息处理.E-mail:cyq@dlnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(No.61201418);辽宁省高等学校优秀人才支持计划项目(No.LJQ2013126);中央高校基本科研业务费专项资金资助(No.DC201502060302);辽宁省自然科学基金(No.20170540198)

A New Dual Mode Blind Equalization Algorithm Based on Combination Cost Function

XIAO Ying, CUI Yan-qiu   

  1. College of Information and Communication Engineering, Dalian Nationality University, Dalian, Liaoning 116600, China
  • Received:2016-12-05 Revised:2017-06-07 Online:2018-06-25 Published:2018-06-25

摘要: 以常数模和判决引导准则设计的双模式盲均衡算法可显著提高均衡性能,目前已有双模式盲均衡算法均需设置切换参数且切换参数选择和设定缺乏理论依据.为解决双模式盲均衡算法中切换参数难以确定的问题,提出来一种组合代价函数的双模式盲均衡新算法.利用常数模和判决引导准则通过加权设计代价函数,在盲均衡器更新过程中自适应调节权值实现算法由常数模算法向判决引导算法的切换,避免了在双模式算法中设计切换参数,提高了算法的泛化性能.为克服常数模算法相位盲的缺点,在虚实分开改进的常数模算法基础上优化组合代价函数以及盲均衡器更新算法的设计,进一步提高了算法收敛性能.仿真结果证明,组合代价函数双模式盲均衡新算法可充分发挥常数模算法和判决引导算法的优点,具有更快的收敛速度和更小的稳态剩余误差.

关键词: 盲均衡, 常数模算法, 判决引导算法, 双模式算法

Abstract: Although the dual mode blind equalization algorithm based on constant modulus and decision directed (DD) criterion can significantly improve the performance of equalization,the dual mode blind equalization algorithms at present need to set up the switching parameters which lack of theoretical basis.To solve the problem that the switching parameters are difficult to be determined in the dual mode blind equalization algorithm,a new dual mode blind equalization algorithm with combination cost function is proposed.The combination cost function is obtained by using the weighted constant modulus and DD cost function,and the weight is adaptively adjusted during the blind equalizer update process to switch from constant modulus algorithm (CMA) to DD algorithm,which avoids the design of the switching parameters in the dual mode algorithm,and the generalization performance can be improved.To overcome the shortcoming of phase blindness of CMA,the proposed algorithm is optimized based on modified CMA (MCMA),which can further improve the convergence performance.The simulation results show that the proposed dual mode blind equalization algorithm can take full advantages of CMA and DD algorithm,which has faster convergence rate and lower steady state error.

Key words: blind equalization, CMA, DD algorithm, dual mode algorithm

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