Sign normalised spline adaptive filtering algorithms against impulsive noise

被引：40
|
作者：
Liu, Chang [1 ]
Zhang, Zhi [1 ]
Tang, Xiao [1 ]
机构：
[1] Dongguan Univ Technol, Sch Elect Engn, 1 DaXue Rd, Dongguan 523808, Peoples R China
来源：
SIGNAL PROCESSING | 2018年 / 148卷
基金：
中国国家自然科学基金;
关键词：
Spline adaptive filter; Nonlinear adaptive filter; Sign algorithm; Variable step-size; VARIABLE STEP-SIZE;
D O I：
10.1016/j.sigpro.2018.02.022
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 sign normalised least mean square algorithm (SNLMS) based on Wiener spline adaptive filter, called SAF-SNLMS, is proposed. The proposed algorithm is derived by minimising the absolute value of the a posteriori error. Moreover, to further improve the convergence performance of the SAF-SNLMS, the variable step-size scheme is introduced. Simulation results demonstrate the SAF-SNLMS and its variable step-size variant obtain more robust performance when compared with the existing spline adaptive filter algorithms in impulsive noise. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：234 / 240
页数：7
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