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Large error recovery for a class of frequency tracking algorithms

✍ Scribed by Peter Händel; Petr Tichavsky; Sergio M. Savaresi

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
155 KB
Volume
12
Category
Article
ISSN
0890-6327

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✦ Synopsis

The performance of a recently proposed high-order adaptive notch ÿlter (HANF) for frequency estimation and tracking is studied. An analysis technique utilizing approximations with linear ÿlters is employed to derive closed-form performance expressions for a noisy sinusoidal input signal. Important performance measures, such as stability, noise rejection, statistical e ciency, and tracking ability, are studied in detail, and rules for the design variables are given. A study is presented where the performance of HANF is compared with the performance of a minimal order adaptive notch ÿlter (ANF), as well as with a frequency tracker based on least squares-modelling-the multiple frequency tracker (MFT). The study reveals that HANF is a competitive alternative to ANF, but also that, in general, the MFT is the method of choice.

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