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Large error recovery for a class of frequency tracking algorithms
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-2718-0262
1998 (English)In: International journal of adaptive control and signal processing (Print), ISSN 0890-6327, E-ISSN 1099-1115, Vol. 12, no 5, 417-436 p.Article in journal (Refereed) Published
Abstract [en]

The performance of a recently proposed high-order adaptive notch filter (HANF) for frequency estimation and tracking is studied. An analysis technique utilizing approximations with linear filters is employed to derive closed-form performance expressions for a noisy sinusoidal input signal. Important performance measures, such as stability, noise rejection, statistical efficiency, 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 filter (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.

Place, publisher, year, edition, pages
1998. Vol. 12, no 5, 417-436 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-43866DOI: 10.1002/(SICI)1099-1115(199808)12:5<417::AID-ACS502>3.3.CO;2-AISI: 000075163800003OAI: oai:DiVA.org:kth-43866DiVA: diva2:448877
Note
QC 20111107Available from: 2011-10-18 Created: 2011-10-18 Last updated: 2017-12-08Bibliographically approved

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Händel, Peter

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