A Variable Regularization Method for Affine Projection Algorithm

被引：27
|
作者：
Yin, Wutao [1 ]
Mehr, Aryan Saadat [1 ]
机构：
[1] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2010年 / 57卷 / 06期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Adaptive filtering; affine projection algorithm; variable regularization; STEP-SIZE NLMS;
D O I：
10.1109/TCSII.2010.2048355
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：
The affine projection algorithm (APA) is a generalization of the normalized least mean square algorithm. We propose a variable regularization factor for the APA. Instead of the conventional assumption that the a posteriori error is zero, we incorporate the statistical characteristic of the noise into the adaptation process based on a system identification setup. Exact and approximate formulations for the optimal regularization factor are derived. Numerical simulation results show that the proposed algorithm improves the performance of the APA in terms of its convergence rate and steady-state misalignment.
引用
收藏
页码：476 / 480
页数：5
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