Robust Sinusoid Identification With Structured and Unstructured Measurement Uncertainties

Author

Pin, Gilberto ; Boli Chen ; Parisini, Thomas ; Bodson, Marc

Author_Institution

Electrolux Prof. S.p.A, Italy

Volume

59

Issue

6

fYear

2014

fDate

Jun-14

Firstpage

1588

Lastpage

1593

Abstract

In this note a globally stable methodology is proposed to estimate the frequency, phase, and amplitude of a sinusoidal signal affected by additive structured and bounded unstructured disturbances. The structured disturbances belong to the class of time-polynomial signals incorporating both bias and drift phenomena. Stability and robustness results are given by resorting to Input-to-State stability arguments. Simulation comparative results show the effectiveness of the proposed technique.

Keywords

amplitude estimation; frequency estimation; phase estimation; signal processing; stability; AFP estimation; additive structured disturbances; amplitude-frequency-and-phase estimation; bias phenomena; bounded unstructured disturbances; drift phenomena; globally stable methodology; input-to-state stability arguments; robust sinusoid identification; sinusoidal signal; structured measurement uncertainties; time-polynomial signals; unstructured measurement uncertainties; Estimation; Frequency estimation; Noise; Stability analysis; Time-frequency analysis; Transient analysis; Vectors; Amplitude, frequency and phase (AFP); phase-locked-loop (PLL);

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/TAC.2013.2293415

Filename

6677567