eprintid: 10189792
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/18/97/92
datestamp: 2024-05-13 16:27:35
lastmod: 2024-05-13 16:27:35
status_changed: 2024-05-13 16:27:35
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Chen, Boli
creators_name: Li, Peng
creators_name: Pin, Gilberto
creators_name: Parisini, Thomas
title: Estimation of multi-sinusoidal signals: A deadbeat methodology
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Kernel, 
Frequency estimation, 
Phase locked loops, 
Observers, 
Pins, 
Harmonic analysis
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: 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.
date: 2016-12-29
date_type: published
publisher: IEEE
official_url: https://doi.org/10.1109/CDC.2016.7798836
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1689377
doi: 10.1109/cdc.2016.7798836
isbn_13: 9781509018376
lyricists_name: Chen, Boli
lyricists_id: BCHEB76
actors_name: Chen, Boli
actors_id: BCHEB76
actors_role: owner
full_text_status: public
pres_type: paper
series: IEEE Conference on Decision and Control
publication: 2016 IEEE 55th Conference on Decision and Control (CDC)
place_of_pub: Las Vegas, NV, USA
pagerange: 3763-3768
pages: 6
event_title: 2016 IEEE 55th Conference on Decision and Control (CDC)
event_location: Las Vegas, NV, USA
event_dates: 12 Dec 2016 - 14 Dec 2016
book_title: 2016 IEEE 55th Conference on Decision and Control (CDC)
citation:        Chen, Boli;    Li, Peng;    Pin, Gilberto;    Parisini, Thomas;      (2016)    Estimation of multi-sinusoidal signals: A deadbeat methodology.                     In:  2016 IEEE 55th Conference on Decision and Control (CDC).  (pp. pp. 3763-3768).  IEEE: Las Vegas, NV, USA.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10189792/1/deadbeat_multi_sin_identification_18_3_2016.pdf