Adaptive filtering based on recursive minimum error entropy criterion

被引：30
|
作者：
Wang, Gang [1 ]
Peng, Bei [2 ]
Feng, Zhenyu [2 ]
Yang, Xinyue [1 ]
Deng, Jing [2 ]
Wang, Nianci [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Peoples R China
来源：
SIGNAL PROCESSING | 2021年 / 179卷
基金：
中国国家自然科学基金;
关键词：
Adaptive filtering; Mean square error (MSE); Minimum error entropy (MEE); Recursive least square (RLS); Recursive minimum error entropy (RMEE); NOISE; CANCELLATION; CONVERGENCE; ALGORITHM;
D O I：
10.1016/j.sigpro.2020.107836
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a robust adaptive algorithm, called recursive minimum error entropy, is derived under the minimum error entropy criterion. The new algorithm can perform robustly under impulsive noise. Theoretical analyses and numerical simulations revealed that the new algorithm performs better than the recursive least squares and recursive maximum correntropy algorithm. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数：6
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