Performance Analysis of Fractional-Order Adaptive Filtering Algorithm and Its Improvement

被引：5
|
作者：
Li, Lei [1 ]
Pu, Yi-Fei [1 ]
Xie, Xuetao [1 ]
机构：
[1] Sichuan Univ, Sch Comp Sci, Chengdu 610065, Peoples R China
来源：
IEEE SIGNAL PROCESSING LETTERS | 2022年 / 29卷
基金：
中国国家自然科学基金;
关键词：
Fractional-order adaptive filter; non-Gaussian signal; M-estimate; heavy-tailed distribution; CORRENTROPY; SYSTEMS;
D O I：
10.1109/LSP.2022.3193850
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：
Considering the a-stable input signals and noises, several robust fractional-order adaptive filtering algorithms have been proposed in recent years. However, the mean-square performance analysis of the FoAF algorithm has not been well studied in the literature. Toward that end, this letter provide a theoretical mean-square performance analysis of the FoAF algorithm, involving transient and steady-state behavior. Furthermore, an improved fractional-order adaptive filtering algorithm is derived by utilizing the M-estimate technique. Simulation experiments verify the results of the theoretical analysis and demonstrate the advantages of the proposed algorithm in heavy-tailed non-Gaussian environments.
引用
收藏
页码：1853 / 1857
页数：5
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