Title
Robust parametric estimation of biased sinusoidal signals: A parallel pre-filtering approach
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.
Year
DOI
Venue
2014
10.1109/CDC.2014.7039660
CDC
Keywords
Field
DocType
robust parametric estimation,noisy measurements,signal processing,parallel prefiltering scheme,prefiltering-based frequency estimators,parameter estimation,parallel second-order prefilters,biased measurements,input-to-state stability arguments,bounded additive disturbances,filtering theory,biased sinusoidal signals,bounded measurement perturbations
Mathematical optimization,Control theory,Computer science,Filter (signal processing),Parametric estimation,Perturbation (astronomy),Offset (computer science),Bounded function,Estimator
Conference
ISSN
Citations 
PageRank 
0743-1546
2
0.38
References 
Authors
22
3
Name
Order
Citations
PageRank
Boli Chen1316.94
Gilberto Pin213617.21
T Parisini3935113.17