A single-parameter adaptive comb filter

Author

Chernoguz, N.G.

Author_Institution

TAMAM, Israel Aircraft Ind., Yahud

Volume

6

fYear

2001

fDate

2001

Firstpage

3749

Abstract

The study is concerned with a single-parameter adaptive comb filter (ACF), a multi-notch filter with periodically located nulls. The filter is suggested to retrieve a waveform modeled by superposition of harmonics, in particular, a periodic non-sinusoidal signal. Using trigonometric constraints between the signal fundamental frequency and overtones results in a nonlinear estimation problem. The adjustment relies on the extended Kalman filter. Particularly, the 2, 3 and 4 notch ACF are derived and tested under different conditions. Given a multitone scenario, the ACF significantly outperforms the common adaptive multi-notch filter

Keywords

Kalman filters; adaptive filters; comb filters; filtering theory; nonlinear estimation; notch filters; parameter estimation; adaptive comb filter; extended Kalman filter; harmonic superposition; multi-notch filter; multitone scenario; nonlinear estimation; periodic non-sinusoidal signal; periodically located nulls; single-parameter filter; trigonometric constraints; Adaptive filters; Aerospace industry; Aircraft; Frequency estimation; IIR filters; Instruments; Poles and zeros; Polynomials; Power harmonic filters; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940658

Filename

940658