A New Adaptive Notch Filtering Algorithm Based on Normalized Lattice Structure with Improved Mean Update Term

被引：14

作者：

Nakamura, Shinichiro ^{[1
]}

Koshita, Shunsuke ^{[1
]}

Abe, Masahide ^{[1
]}

Kawamata, Masayuki ^{[1
]}

机构：

[1] Tohoku Univ, Dept Elect Engn, Sendai, Miyagi 9808579, Japan

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2015年 / E98A卷 / 07期

关键词：

adaptive notch filter; affine combination; mean update term; normalized lattice structure; simplified lattice algorithm; PERFORMANCE;

D O I：

10.1587/transfun.E98.A.1482

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose Affine Combination Lattice Algorithm (ACLA) as a new lattice-based adaptive notch filtering algorithm. The ACLA makes use of the affine combination of Regalia's Simplified Lattice Algorithm (SLA) and Lattice Gradient Algorithm (LGA). It is proved that the ACLA has faster convergence speed than the conventional lattice-based algorithms. We conduct this proof by means of theoretical analysis of the mean update term. Specifically, we show that the mean update term of the ACLA is always larger than that of the conventional algorithms. Simulation examples demonstrate the validity of this analytical result and the utility of the ACLA. In addition, we also derive the step-size bound for the ACLA. Furthermore, we show that this step-size bound is characterized by the gradient of the mean update term.

引用

页码：1482 / 1493

页数：12

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