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一种变步长星座匹配多模算法
引用本文:崔蔚,林宝军.一种变步长星座匹配多模算法[J].计算机工程,2012,38(11):88-90.
作者姓名:崔蔚  林宝军
作者单位:1. 中国科学院研究生院,北京100049;中国科学院光电研究院,北京100190;北京国科环宇空间技术有限公司,北京100190
2. 中国科学院光电研究院,北京,100190
摘    要:常数模算法(CMA)在QAM信号上的星座图匹配,存在剩余误差大、无法纠正相位偏差等问题。为此,在研究盲均衡算法的基础上,根据高阶QAM 信号的星座图特点,构造新型的均衡估值函数,并采用误差能量作为步长变化的依据,提出一种变步长星座匹配多模算法。仿真实验结果表明,该算法具有较好的收敛效果,且能改善位偏转,保持CMA算法的鲁棒性。

关 键 词:多模算法  高阶QAM  盲均衡  误差能量  变步长  星座匹配函数
收稿时间:2011-10-15

Variable Step-size Constellation Match Multiple Model Algorithm
CUI Wei , LIN Bao-jun.Variable Step-size Constellation Match Multiple Model Algorithm[J].Computer Engineering,2012,38(11):88-90.
Authors:CUI Wei  LIN Bao-jun
Affiliation:1.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;2.Academy of Opto-electronics,Chinese Academy of Sciences,Beijing 100190,China;3.Beijing Trans-universe Space Technology Co.,Ltd.,Beijing 100190,China)
Abstract:A new variable step-size algorithm is proposed to reduce the residual error and the phase error caused by the mismatch of the Constant Modulu Algorithm(CMA) and constellations of the high-order QAM signals.The new algorithm takes the error energy as the step-size control criteria to get a balance between the convergence rate and the residual error.Simulation experimental result shows that compared with other blind equalization algorithm,the new algorithm gets a better residual error and phase recovery,and keeps the robustness unchanged.
Keywords:multiple model algorithm  high order QAM  blind equalization  error energy  variable step-size  constellation match function
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