Real-Time Identification of Periodic Signals using the Recursive Variable Projection Algorithm

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Abstract

This paper presents a real-time parameter identification algorithm for periodic signals, based on the recursive variable projection (RVP) algorithm. The recursive implementation enables the tracking of time-varying parameters. The signal model is linear with respect to the amplitude parameters while being nonlinear with respect to the phase and frequency. This feature motivates the use of a variable projection based approach. Its performance is tested using Monte Carlo simulations and the results are compared with those obtained by a multiobjective Gauss-Newton (MGN) algorithm. Furthermore, the RVP algorithm is applied to measurement data acquired by a MEMS accelerometer and it is demonstrated that it can successfully track time-varying linear and nonlinear parameters.

Details

OriginalspracheEnglisch
TitelIECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Seiten1-6
DOIs
StatusVeröffentlicht - 9 Dez. 2022
Veranstaltung48th Annual Conference of the IEEE Industrial Electronics Society - IECON 2022 - Brüssel, Belgien
Dauer: 17 Okt. 202220 Okt. 2022

Konferenz

Konferenz48th Annual Conference of the IEEE Industrial Electronics Society - IECON 2022
KurztitelIECON 2022
Land/GebietBelgien
OrtBrüssel
Zeitraum17/10/2220/10/22