Weighted Multi-Modulus Blind Equalization Algorithm Based on Momentum Term

被引：0

作者：

Guo, Shijie ^{[1
]}

Xu, Fang ^{[2
]}

Xu, Wencai ^{[2
]}

Fan, Kang ^{[1
]}

机构：

[1] Huaibei Normal Univ, Coll Phys & Elect Informat, Huaibei 235000, Peoples R China

[2] Nanjing Univ Informat Sci & Technol, Jiangsu Technol & Engn Ctr Meteorol Sensor Networ, Jiangsu Key Lab Meteorol Observat & Informat proc, Nanjing 210044, Jiangsu, Peoples R China

来源：

MECHANICAL ENGINEERING AND TECHNOLOGY | 2012年 / 125卷

关键词：

blind equalization algorithm; weighted multi-modulus algorithm; momentum term;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to overcome the defects of traditional constant modulus blind equalization algorithm in equalizing higher-order QAM(Quadrature Amplitude Modulation) signals, on the basis of combining the momentum term algorithm and the weighted multi-modulus blind equalization algorithm, Momentum term based Weighted Multi-Modulus blind equalization Algorithm(WMMA) is proposed. In the proposed algorithm, weighted multi-modulus blind equalization algorithm is used to adjust the modulus of the cost function adaptively and momentum term is employed to improve the convergence speed. The simulation results in the underwater acoustic channel show that the proposed algorithm has higher convergence speed and accuracy than Multi-Modulus blind equalization Algorithm(MMA) and Constant Modulus blind equalization Algorithm(CMA).

引用

页码：625 / +

页数：2

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