Improvement of convergence speed for an adaptive notch filter based on simplified lattice algorithm using pilot notch filters

Hiroyuki Munakata, S. Koshita, M. Abe, M. Kawamata
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引用次数: 2

Abstract

This paper proposes a new adaptive notch filter with high convergence speed and low steady state error. The new adaptive notch filter is based on an improved Simplified Lattice Algorithm (SLA) which has variable step sizes using piloted adaptive notch filters. Computer simulations demonstrate that the adaptive notch filter claims an improved convergence speed under the same mean square error condition in comparison to the conventional SLA.
基于简化格算法的自适应陷波滤波器导频陷波滤波器收敛速度的改进
提出了一种收敛速度快、稳态误差小的自适应陷波滤波器。新的自适应陷波滤波器是基于改进的简化格算法(SLA),该算法使用导频自适应陷波滤波器具有可变步长。计算机仿真结果表明,在均方误差相同的条件下,自适应陷波滤波器的收敛速度比传统陷波滤波器更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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