Fractional Normalized Subband Adaptive Filtering Algorithm Based on Mixture Correntropy

被引：0
|
作者：
Huo Y. [1 ]
Ding R. [1 ]
Qi Y. [2 ]
Tuo L. [1 ]
机构：
[1] College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou
[2] College of Computer Science and Engineering, Northwest Normal University, Lanzhou
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2023年 / 46卷 / 05期
关键词：
fractional-order derivative; maximum mixture correntropy criterion; non-Gaussian impulsive interference; system identification;
D O I：
10.13190/j.jbupt.2022-168
中图分类号：
学科分类号：
摘要：
In order to improve the filtering performance of the normalized subband adaptive filter (NSAF) in a non-Gaussian noise environment, the maximum mixture correntropy criterion and fractional-order differentiation are applied to the NSAF algorithm. On the one hand, the robustness of the maximum mixture correntropy criterion is used to effectively suppress the effect of anomalous noise values on the performance of the algorithm. On the other hand, to describe the actual system more accurately, a fractional-order differentiation component is added to the weight update. The proposed algorithm is applied to system identification and nonlinear channel equalization in a non-Gaussian interference noise and colored noise. Simulation results show that the proposed algorithm has stronger robustness and better system tracking and estimation capability compared with existing robust algorithms. © 2023 Beijing University of Posts and Telecommunications. All rights reserved.
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页码：28 / 34
页数：6
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