Title :
Sparse coloured system identification with guaranteed stability
Author :
Seneviratne, Akila J. ; Solo, Victor
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
We develop a method for sparse transfer function estimation in the presence of coloured noise. Unlike most previous sparse transfer function estimation methods our approach via Laguerre polynomials guarantees stability. Also unlike previous methods the new procedure can handle coloured noise. We discuss both l1 and l0 penalized procedures. Simulation results are presented to demonstrate the effectiveness of this approach and to compare the performance of the two penalties that are considered.
Keywords :
function approximation; noise; parameter estimation; polynomials; transfer functions; Laguerre polynomials; coloured noise; sparse coloured system identification; sparse transfer function estimation; sparse transfer function estimation methods; stability; Colored noise; Least squares approximation; Stability criteria; Transfer functions; Vectors;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6427058