Variable Step Size Methods of the Hybrid Affine Projection Adaptive Filtering Algorithm under Symmetrical Non-Gaussian Noise

被引：2
|
作者：
Zhou, Xingli [1 ,2 ]
Li, Guoliang [1 ]
Zhang, Hongbin [1 ]
Cao, Xin [2 ,3 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 610056, Peoples R China
[2] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Elect Sci & Engn, Chengdu 610056, Peoples R China
来源：
SYMMETRY-BASEL | 2023年 / 15卷 / 06期
关键词：
adaptive filtering; affine projection (AP); variable step-size; system identification; robustness; SIGN ALGORITHM; CORRENTROPY;
D O I：
10.3390/sym15061158
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The idea of variable step-size was introduced into the Hybrid Affine Projection Algorithm (H-APA) and we propose two variable step size algorithms based on H-APA, which are called the Variable Step-Size Hybrid Affine Projection Algorithm (VSS-H-APA) and the Modified Variable Step-Size Hybrid Affine Projection Algorithm (MVSS-H-APA). These are two variable-step algorithms aim to further improve the robust performance and convergence speed of H-APA under non-Gaussian noise. This allows for faster convergence while maintaining stability. The MVSS-H-APA goes further than VSS-H-APA to estimate the noise in order to achieve better convergence performance. The proposed algorithm performs better than the existing algorithms in system identification under symmetric non-Gaussian noise.
引用
收藏
页数：10
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