Title :
Robust parametric estimation of biased sinusoidal signals: A parallel pre-filtering approach
Author :
Boli Chen ; Pin, Gilberto ; Parisini, Thomas
Author_Institution :
Imperial Coll. London, London, UK
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.
Keywords :
filtering theory; parameter estimation; signal processing; biased measurements; biased sinusoidal signals; bounded additive disturbances; bounded measurement perturbations; input-to-state stability arguments; noisy measurements; parallel prefiltering scheme; parallel second-order prefilters; prefiltering-based frequency estimators; robust parametric estimation; Frequency estimation; Lyapunov methods; Noise; Time-frequency analysis; Transient analysis; Vectors;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039660