Adaptive Minimum Entropy Equalization Algorithm

被引：14

作者：

Abrar, Shafayat ^{[1
]}

Nandi, Asoke K. ^{[1
]}

机构：

[1] Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England

来源：

IEEE COMMUNICATIONS LETTERS | 2010年 / 14卷 / 10期

关键词：

Adaptive equalizers; blind equalization; minimum entropy deconvolution; constant modulus algorithm; BLIND EQUALIZATION; DECONVOLUTION;

D O I：

10.1109/LCOMM.2010.083110.101168

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We employ minimum entropy deconvolution principle for blind equalization of complex digital signals. In essence, we maximize the output energy, constrain the equalizer output not to exceed certain level and obtain an adaptive solution capable of opening a closed-eye with the recovery of true energy of signal. We provide evidence of good performance in comparison to existing adaptive methods, like CMA and its variants, through simulations.

引用

页码：966 / 968

页数：3

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