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Multistage generalized adaptive notch filter with improved accuracy

Abstract

Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems. Current state of the art GANFs can deliver highly accurate estimates of system variations’ frequency, but underperform in terms of accuracy of the coefficient estimates. The paper proposes a novel multistage GANF with accuracy improved in this aspect. The processing pipeline consists of three stages. The preliminary (pilot) frequency estimates are obtained first, then treated with a specially designed linear filter and used to guide the coefficient tracking GANF, which works out the estimates of system coefficients. The proposed solution has considerably better performance than a single stage GANF or a simple two-stage approach consisting of the pilot frequency estimator and the amplitude tracking GANF only.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
23rd European Signal Processing Conference (EUSIPCO) strony 2721 - 2725
ISSN:
2076-1465
Language:
English
Publication year:
2015
Bibliographic description:
Meller M..: Multistage generalized adaptive notch filter with improved accuracy, W: 23rd European Signal Processing Conference (EUSIPCO), 2015, IEEE,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/eusipco.2015.7362869
Verified by:
Gdańsk University of Technology

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