Chen, Boli;
Pin, Gilberto;
Parisini, Thomas;
(2014)
Robust Parametric Estimation of Biased Sinusoidal Signals: a Parallel Pre-filtering Approach.
In:
53rd IEEE Conference on Decision and Control.
(pp. pp. 1804-1809).
IEEE: Los Angeles, CA, USA.
Preview |
Text
CDC14_0283_FI.pdf - Accepted Version Download (866kB) | Preview |
Abstract
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.
| Type: | Proceedings paper |
|---|---|
| Title: | Robust Parametric Estimation of Biased Sinusoidal Signals: a Parallel Pre-filtering Approach |
| Event: | 53rd IEEE Conference on Decision and Control |
| Location: | Los Angeles, CA |
| Dates: | 15 Dec 2014 - 17 Dec 2014 |
| ISBN-13: | 9781479977468 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CDC.2014.7039660 |
| Publisher version: | https://doi.org/10.1109/CDC.2014.7039660 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Frequency estimation, Time-frequency analysis, Vectors, Noise, Lyapunov methods, Transient analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10189793 |
Archive Staff Only
 |
View Item |
