Paper Info
Title
An Adaptive Observer-Based Switched Methodology for the Identification of a Perturbed Sinusoidal Signal: Theory and Experiments
Abstract
This paper deals with a novel adaptive observer-based technique for estimating the amplitude, frequency, and phase of a single sinusoidal signal from a measurement affected by structured and unstructured disturbances. The structured disturbances are modeled as a time-polynomial so as to represent bias and drift phenomena typically present in applications, whereas the unstructured disturbances are modelled as bounded noise signals. The proposed estimation technique exploits a specific adaptive observer scheme equipped with a switching criterion allowing to properly address in a stable way poor excitation scenarios. The estimator's stability properties are analyzed by input-to-state stability arguments. The practical characteristics of the proposed estimation approach are evaluated and compared with other existing tools by extensive simulation trials. Real experimental results are provided as well.
Year
DOI
Venue
2014
10.1109/TSP.2014.2362105
IEEE Transactions on Signal Processing
Keywords
Field
DocType
observers,signal processing,unstructured disturbances,adaptive observer-based switched methodology,frequency estimation,bounded noise signals,adaptive signal processing,switching criterion,input-to-state stability,adaptive estimation,perturbed sinusoidal signal identification,structured disturbances,stability analysis,switches
Signal theory,Control theory,Adaptive observer,Amplitude,Mathematics,Signal processing algorithms,Estimator,Bounded function
Journal
Volume
Issue
ISSN
62
24
1053-587X
Citations 
PageRank 
References 
5
0.48
19
Authors
6
Name
Order
Citations
PageRank
Boli Chen1316.94
Gilberto Pin213617.21
Wai M. Ng350.48
Chi Kwan Lee421024.11
S. Y. Ron Hui550.48
Thomas Parisini623516.77