%0 Generic
%A Chen, Boli
%A Pin, Gilberto
%A Parisini, Thomas
%C Los Angeles, CA, USA
%D 2014
%F discovery:10189793
%I IEEE
%K Frequency estimation,   Time-frequency analysis,   Vectors,   Noise,   Lyapunov methods,    Transient analysis
%N February
%P 1804-1809
%T Robust Parametric Estimation of Biased Sinusoidal Signals: a Parallel Pre-filtering Approach
%U https://discovery.ucl.ac.uk/id/eprint/10189793/
%V 2015-F
%X 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.
%Z This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.