TY  - GEN
EP  - 1809
CY  - Los Angeles, CA, USA
TI  - Robust Parametric Estimation of Biased Sinusoidal Signals: a Parallel Pre-filtering Approach
SN  - 0743-1546
AV  - public
KW  - Frequency estimation
KW  -  
Time-frequency analysis
KW  -  
Vectors
KW  -  
Noise
KW  -  
Lyapunov methods
KW  -   
Transient analysis
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
N2  - In this paper, a parallel pre-filtering scheme is presented to address the problem of estimating the parameters of a sinusoidal signal from biased and noisy measurements. Extending some recent result on pre-filtering-based frequency estimators, a parallel pre-filtering scheme is proposed to deal with the unknown offset and bounded measurement perturbations, which are typically present in several practical applications. A simple frequency estimator, having parallel second-order pre-filters, is introduced. The behaviour of the proposed algorithm with respect to bounded additive disturbances is characterized by Input-to-State Stability arguments. Numerical examples shows the effectiveness of the proposed technique.
T3  - IEEE Conference on Decision and Control
ID  - discovery10189793
UR  - https://doi.org/10.1109/CDC.2014.7039660
Y1  - 2014/02/12/
PB  - IEEE
A1  - Chen, Boli
A1  - Pin, Gilberto
A1  - Parisini, Thomas
SP  - 1804
ER  -