DocumentCode :
3338359
Title :
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
Link To Document :
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