Title :
Novel blind variants of the OBE algorithm
Author :
Nayeri, M. ; Lin, T.M. ; Deller, J.R.
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Set-membership algorithms, including the conventional optimal bounding ellipsoid (OBE) algorithm, require a priori knowledge of exact error bounds which is unknown in most applications. Conservative (over-estimated) error bounds used in practice lead to inconsistent parameter estimation. The novel OBE algorithm with automatic bound estimation (OBE-ABE) is shown to be consistently convergent without a priori knowledge of error bounds, even in correlated-error environments. Computationally efficient variants of this algorithm for both time-invariant and time-varying systems are presented. Simulations are performed to demonstrate the merit of the algorithms
Keywords :
autoregressive processes; convergence of numerical methods; correlation methods; error analysis; parameter estimation; probability; time-varying systems; OBE algorithm; a priori knowledge; automatic bound estimation; blind variants; computationally efficient variants; conservative error bounds; correlated-error environments; exact error bounds; optimal bounding ellipsoid algorithm; parameter estimation; set-membership algorithms; time-invariant systems; time-varying systems; Ellipsoids; Parameter estimation; Random sequences; Upper bound;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599506