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Frequency-estimation error variance of an adaptive scheme based on structured AR modeling
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0002-2718-0262
1999 (English)In: IEEE transactions on circuits and systems. 2, Analog and digital signal processing (Print), ISSN 1057-7130, E-ISSN 1558-125X, Vol. 46, no 11, 1361-1366 p.Article in journal (Refereed) Published
Abstract [en]

An on-line version of a recently proposed frequency-estimation algorithm based on structured autoregressive (AK) modeling of data is derived for the special case of a single cisoid in noise. The adaptive notch filter utilizes a weighted sum-of-squares of the AR prediction error that is recursively minimized with respect to the frequency of the cisoid. The steady-state performance of the algorithm is characterized by aid of a linear filter-approximation technique, and design rules for the tuning variables are given, An excellent agreement is demonstrated between the results predicted by theory, and the measured performance based on numerical simulations. The tracking ability and noise rejection is compared both with the performance of alternative algorithms and with the appropriate Cramer-Rao bound. It is shown that the algorithm is close to being statistically efficient.

Place, publisher, year, edition, pages
1999. Vol. 46, no 11, 1361-1366 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-43863DOI: 10.1109/82.803475ISI: 000083713700004OAI: oai:DiVA.org:kth-43863DiVA: diva2:448880
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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