Enhanced Decision Adjusted Modulus Algorithm for Blind Equalization

被引：3
作者：
Kolosovs, Deniss [1 ,2 ]
Zelenkov, Albert [2 ]
Jersovs, Aleksandrs [2 ]
机构：
[1] Riga Tech Univ, Inst Radioelect, Azenes St 12, Riga, Latvia
[2] SAF Tehnika JSC, Ganibu Dambis St 24a, Riga, Latvia
来源：
ICTE 2016 | 2017年 / 104卷
关键词：
Blind equalization; Cost function; Optimal decision; Enhanced decision adjusted multimodulus algorithm; SELF-RECOVERING EQUALIZATION; SYSTEMS;
D O I：
10.1016/j.procs.2017.01.156
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A new Enhanced Decision Adjusted Multimodulus Algorithm (EDAMA) for blind equalization is proposed in this article. It is based on ensuring of minimal detection error probability. This algorithm is characterised by smaller steady-state error than Constant Modulus Algorithm (CMA). A comprehensive theoretical description of the optimisation method is provided. EDAMA, CMA and other equalization algorithms comparative test result are appended. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码：429 / 436
页数：8
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