Robust Set-Membership Affine Projection Algorithm with Coefficient Vector Reuse

被引：5
|
作者：
Zheng, Zongsheng [1 ,2 ]
Zhao, Haiquan [1 ,2 ]
机构：
[1] Minist Educ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Chengdu, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2017年 / 36卷 / 09期
基金：
美国国家科学基金会;
关键词：
Affine projection algorithm; Set-membership; Coefficient vector reuse; Acoustic echo cancellation; High background noise; Impulsive noise; SQUARES ALGORITHM;
D O I：
10.1007/s00034-016-0471-8
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：
This paper proposes a robust set-membership affine projection algorithm with coefficient vector reuse (RSM-APA-CVR) for high background noise environment. In the proposed algorithm, the sum of the squared norms of the differences between the updated weight vector and past weight vectors is minimized and a new robust error bound is designed. Simulation results in acoustic echo cancellation context show that the proposed algorithm has faster convergence rate and smaller steady-state misalignment as compared to the conventional RSM-APA.
引用
收藏
页码：3843 / 3853
页数：11
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