Generalized Adaptive Notch Filter With a Self-Optimization Capability

Authors:
M. Niedzwiecki;P. Kaczmarek
Affiliations:
Fac. of Electron., Telecommun. & Comput. Sci., Tech. Univ. Gdansk;-
Venue:
IEEE Transactions on Signal Processing
Year:
2006

Citing 0
Cited 3

Brief paper: Generalized adaptive notch filters with frequency debiasing for tracking of polynomial phase systems

Automatica (Journal of IFAC)
Self-optimizing generalized adaptive notch filters - comparison of three optimization strategies

Automatica (Journal of IFAC)
Parallel frequency tracking with built-in performance evaluation

Digital Signal Processing

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Abstract

The paper presents a self-optimizing version of a generalized adaptive notch filter (GANF). Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The tracking properties of a GANF algorithm depend on two adaptation gains, which should be chosen so as to match the degree of nonstationarity of the identified system. First, an analytical study of a tracking performance of a GANF algorithm is presented. Then, based on the obtained theoretical results, a self-optimizing GANF algorithm is proposed, capable of automatic tuning of its adaptation gains