TY  - GEN
Y1  - 2016/12/29/
AV  - public
SP  - 3763
EP  - 3768
TI  - Estimation of multi-sinusoidal signals: A deadbeat methodology
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
PB  - IEEE
UR  - https://doi.org/10.1109/CDC.2016.7798836
N2  - The problem of estimating the n unknown amplitudes, frequencies and phases of the components of a multi-sinusoidal signal is addressed in this paper. The proposed methodology theoretically allows the exact identification of the above unknown parameters within an arbitrarily small finite time in the noise-free scenario. The measured signal is processed by a bank of Volterra integral operators with a suitably designed kernel, that yields a set of auxiliary signals which are computable on-line by causal linear filters. These auxiliary signals are in turn used to estimate the frequencies in an adaptive fashion, while the amplitudes and the phases estimates can be calculated by means of algebraic formulas. The effectiveness of the estimation technique is evaluated and compared with other existing finite-time estimators via numerical simulations.
ID  - discovery10189792
A1  - Chen, Boli
A1  - Li, Peng
A1  - Pin, Gilberto
A1  - Parisini, Thomas
T3  - IEEE Conference on Decision and Control
KW  - Kernel
KW  -  
Frequency estimation
KW  -  
Phase locked loops
KW  -  
Observers
KW  -  
Pins
KW  -  
Harmonic analysis
CY  - Las Vegas, NV, USA
ER  -