Multi-mode blind equalization based on weighted fusion algorithms

被引：0

作者：

Li, Lizhi ^{[1
]}

Zhang, Hongyuan ^{[2
]}

Yao, Yuhong ^{[1
]}

Zhao, Xiaoqun ^{[1
]}

机构：

[1] Department of Information and Communication, Tongji University, Shanghai, 200092, China

[2] School of Information Engineering, City College of Wenzhou University, Wenzhou 325035, China

来源：

Journal of Information and Computational Science | 2010年 / 7卷 / 13期

关键词：

Iterative methods;

D O I：

暂无

中图分类号：

O24 [计算数学];

学科分类号：

070102 ;

摘要：

On the study of CMA, DD, MCMA, MMA, MAMA and NCMA algorithms, which are commonly used, relatively stable and with simple calculation, a new weighted fusion of multi-Mode blind algorithm is proposed in this paper: when the output signal of the equalizer is reliable, the algorithm of MAMA (MMA-Assisted modulus Algorithm) is used, otherwise three algorithms are weighted and merged together, which are MCMA (Modified CMA Algorithm), MMA (Multi-Modulus Algorithm) and MAMA. On the other hand, by controlling the weight of each algorithm, making it in direct proportion to the iteration number, the proposed algorithm is optimized and the performance is largely increased. Computer simulation proved that the new algorithm in this paper can reduce the intersymbol interference and improve the signal quality in wireless communication. Copyright © 2010 Binary Information Press.

引用

页码：2813 / 2825

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