Unconstrained criterion for blind equalization using the property of the norm

被引：0

作者：

Wang, Dalei ^{[1
]}

Yang, Bin ^{[1
]}

Wu, Ying ^{[1
]}

Wang, Xiuxiu ^{[2
]}

机构：

[1] Institute of Information System Engineering, Information Engineering Univ., Zhengzhou

[2] State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2014年 / 41卷 / 04期

关键词：

Blind equalization; Local convergence; Unconstrained criterion; Vector norm;

D O I：

10.3969/j.issn.1001-2400.2014.04.022

中图分类号：

学科分类号：

摘要：

A novel unconstrained criterion for blind equalization is proposed. The algorithm is based on minimization of the difference between two norms, and does not need to impose any constraint on the equalizer coefficients, which can be realized by the batch processing method and online adaptive approach. Based on the convergence proof under the noiseless condition, we show that a perfect equalization solution is achieved at every local optimum of the function, and that the amplitude of the input signal can be recovered. The validity and good performance in terms of convergence and the steady-state error of the proposed algorithm are verified through computer simulations.

引用

页码：123 / 129and143

共 14 条

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