Title :
Optimally weighted ESPRIT for parameter estimation of damped
Author_Institution :
Sch. of Eng. & Ind. Design, Western Sydney Univ., NSW, Australia
Abstract :
In this paper, an optimally weighted ESPRIT algorithm is studied for parameter estimation of damped signals. The algorithm brings in a variance reduction of 1-2 dB to the ESPRIT, and more importantly, almost achieves the Cramer-Rao bound (CRB). The performance of the OW-ESPRIT is investigated through both numerical computation and simulations.
Keywords :
parameter estimation; research initiatives; signal processing; Cramer-Rao bound; damped signals; optimally weighted ESPRIT algorithm; parameter estimation; variance reduction; Computational modeling; Damping; Eigenvalues and eigenfunctions; Estimation theory; Frequency estimation; Gaussian noise; Noise level; Noise measurement; Parameter estimation;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273435
