Title :
Instrumental variable methods for ARMA spectral estimation
Author :
Friedlander, Benjamin
Author_Institution :
Systems Control Technology, Palo Alto, CA
fDate :
4/1/1983 12:00:00 AM
Abstract :
The modified Yule-Walker technique of ARMA spectral estimation is shown to be a special case of the instrumental variable method of system identification. Several recursive instrumental variable algorithms are proposed for adaptive spectral estimation, including a new algorithm for the overdetermined case. An efficient lattice algorithm is presented for solving the modified Yule-Walker equations, given the sample correlation coefficients. The performance of some of the algorithms is illustrated by simulation results.
Keywords :
Covariance matrix; Difference equations; Instruments; Lattices; Maximum likelihood estimation; Parameter estimation; Recursive estimation; Stochastic systems; System identification; White noise;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1983.1164072