首页> 外文会议>International conference on computer design and applications >Multi-modulus Blind Equalization Algorithm based on high-order QAM genetic optimization
【24h】

Multi-modulus Blind Equalization Algorithm based on high-order QAM genetic optimization

机译:基于高阶QAM遗传优化的多模盲均衡算法

获取原文

摘要

A multi-modulus blind equalization algorithm based on genetic algorithm is proposed in this paper. It combines the advantages of multi-mode blind equalization algorithm and decision directed algorithm, uses genetic algorithm to optimize the weight vector of equalizer and gets better balanced results. Theoretical analysis and computer simulations indicate that the proposed algorithm outperforms multi-modulus blind equalization algorithm in convergence rate and steady-state convergence residual.
机译:提出了一种基于遗传算法的多模盲均衡算法。它结合了多模盲均衡算法和决策导向算法的优点,利用遗传算法对均衡器的权向量进行优化,取得了较好的均衡效果。理论分析和计算机仿真表明,该算法在收敛速度和稳态收敛残差方面均优于多模盲均衡算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号