Estimation of non-stationary sinewave amplitude via competitive Kalman filtering

Author

Caciotta, M. ; Carbone, P.

Author_Institution

Dipartimento di Ingegneria Elettronica, Terza Univ. degli Studi di Roma, Italy

Volume

1

fYear

1996

fDate

1996

Firstpage

470

Abstract

In the paper Kalman filter-based estimation of noisy sinewave signals has been considered. The design of tuning parameters has been taken into account with the aim of providing information on how to obtain given requirements in terms of filter smoothing and tracking capabilities. Then, a multiple-hypotheses filter has been designed to show the performance obtainable through this technique when a step-change in the sinewave amplitude is assumed. The results are further validated by computer simulations

Keywords

Bayes methods; adaptive Kalman filters; amplitude estimation; circuit tuning; digital simulation; simulation; smoothing methods; tracking filters; white noise; competitive Kalman filtering; computer simulations; estimation of noisy sinewave signals; filter smoothing; multiple-hypotheses filter; non-stationary sinewave amplitude; step-change; tracking; tuning parameters; Amplitude estimation; Computer simulation; Delay estimation; Filtering; Kalman filters; Noise level; Pollution measurement; Power system harmonics; Power system reliability; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE

Conference_Location

Brussels

Print_ISBN

0-7803-3312-8

Type

conf

DOI

10.1109/IMTC.1996.507427

Filename

507427