ADAPTIVE NOTCH FILTER BY DIRECT FREQUENCY ESTIMATION

被引：36

作者：

CHEN, BS

YANG, TY

LIN, BH

机构：

[1] Department of Electrical Engineering, National Tsing-Hua University, Hsin Chu

来源：

SIGNAL PROCESSING | 1992年 / 27卷 / 02期

关键词：

ADAPTIVE NOTCH FILTER; RECURSIVE PREDICTION-ERROR ALGORITHM; CRAMER-RAO BOUND;

D O I：

10.1016/0165-1684(92)90005-H

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：

In this paper. an adaptive notch filter is investigated for eliminating sinusoids imbedded in noise. The algorithm estimates the sinusoidal frequencies directly from data samples to avoid the variation caused by small perturbation in the estimated coefficients of the filter. And then the notch filter is designed in terms of the estimated frequencies. The stability of the adaptive notch filter can always be ensured without any stability monitoring during adaptive processing. It converges rapidly and attains the Cramer-Rao bound (CRB) for a sufficient large data set. Simulation results are included to demonstrate the performance of the algorithm.

引用

页码：161 / 176

页数：16

共 27 条

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