Title | ||
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Robust parametric estimation of biased sinusoidal signals: A parallel pre-filtering approach |
Abstract | ||
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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 Chen | 1 | 31 | 6.94 |
Gilberto Pin | 2 | 136 | 17.21 |
T Parisini | 3 | 935 | 113.17 |