14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper FrB2.6

Niedzwiecki, Maciej,Jan (Gdansk Univ. of Tech. Faculty of Electronics,Telecommunications), Sobocinski, Adam (Gdansk Univ. of Tech. Faculty of Electronics, Telecommunications)

Generalized Adaptive Notch Filters with Improved Tracking Capabilities

Scheduled for presentation during the Regular Session "Filtering and Smoothing" (FrB2), Friday, March 31, 2006, 17:10−17:30, Banquet Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on September 24, 2018

Keywords Recursive Identification, Filtering and Smoothing, Basis Functions

Abstract

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. When system frequencies drift according to the random walk model, the generalized adaptive notch filtering algorithms yield unbiased frequency estimates. However, the situation changes under more realstic frequency variation scenarios. We show that when system frequencies change in a smooth way, the estimation bias can be substantially reduced by means of postfiltering of the frequency estimates. The modified (debiased) algorithm has better tracking capabilities than the original algorithm.