Title :
Iterative windowed parameter estimation of multiple superimposed damped exponentials in noise
Author :
Shanglin Ye;Elias Aboutanios
Author_Institution :
School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia
Abstract :
The research problem of the parameter estimation of multiple superimposed damped complex exponentials in noise is of significant importance in many engineering and science applications. In this paper, we propose a simple yet accurate estimator to address the problem. By combining an efficient windowed frequency and damping estimator for a single component with an iterative leakage subtraction scheme, the novel method consecutively and iteratively estimates one component at a time by gradually reducing the leakage introduced by other components presented. Simulation results are presented to verify that the proposed algorithm is capable of outperforming state-of-art time and frequency domain algorithms.
Keywords :
"Frequency estimation","Signal processing algorithms","Estimation","Signal to noise ratio","Damping","Interpolation"
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
DOI :
10.1109/EUSIPCO.2015.7362775