Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:D1L-B
Session:
Number:D1L-B4
A Fast and Accurate Algorithm for IIR Adaptive Notch Filter Using Monotonically Increasing Function
Yosuke SUGIURA, Naoyuki AIKAWA,
pp.672-675
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
In this paper, we propose a fast and accurate algorithm for the IIR adaptive notch filter. The adaptive notch filter is used to remove a narrow-band signal embedded in a wide-band signal. For updating the coefficient of the adaptive notch filter, the NLMS algorithm is often used. The NLMS algorithm, however, provides the low convergence performance due to the high correlation of the input signal. Other algorithms which orthogonalizes the input vector, such as the APA, is also inefficient, since the number of the updating coefficient is one. To solve this problem, we introduce a monotonically increasing function to the gradient vector in the LMS algorithm. Several computer simulations of the narrow-band signal reduction shows the efficiency of the proposed method.