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
Originalsprache | Englisch |
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Titel | IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society |
Seiten | 1-6 |
DOIs | |
Status | Veröffentlicht - 9 Dez. 2022 |
Veranstaltung | 48th Annual Conference of the IEEE Industrial Electronics Society - IECON 2022 - Brüssel, Belgien Dauer: 17 Okt. 2022 → 20 Okt. 2022 |
Konferenz
Konferenz | 48th Annual Conference of the IEEE Industrial Electronics Society - IECON 2022 |
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Kurztitel | IECON 2022 |
Land/Gebiet | Belgien |
Ort | Brüssel |
Zeitraum | 17/10/22 → 20/10/22 |