Tracking analysis of a generalized adaptive notch filter

Authors:
M. Niedzwiecki;P. Kaczmarek
Affiliations:
Dept. of Autom. Control, Gdansk Univ. of Technol., Poland;-
Venue:
IEEE Transactions on Signal Processing
Year:
2006

Citing 0
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Abstract

The paper presents results of local performance analysis of a generalized adaptive notch filter (GANF). GANFs 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 the algorithm are studied analytically using a direct averaging approach and an approximating linear filter technique. Even though restricted to a single-frequency case, the presented analysis provides valuable insights into the tracking mechanisms of GANF, including the associated speed/accuracy tradeoffs, the achievable performance bounds, and tracking limitations. In addition, it allows one to formulate some useful rules of thumb for choosing design parameters.