Identification of arbitrarily time-variant systems

Author

Steinsaltz, Yael ; Lev-Ari, Hanoch

Author_Institution

Center for Commun. & Digital Signal Processing, Northeastern Univ., Boston, MA, USA

Volume

4

fYear

1998

fDate

12-15 May 1998

Firstpage

2181

Abstract

We introduce a technique for identification of systems with arbitrarily time-variant responses from samples of their input and output signals, and without using any prior information about the dynamics of the unknown system response. Our technique is based on the use of optimized averaging filters for the estimation of time-variant second order moments. We demonstrate the utility of our approach and the quality of the resulting estimates via a numerical example

Keywords

correlation methods; filtering theory; identification; optimisation; signal sampling; time-varying systems; average autocorrelations; input signal; optimized averaging filters; output error approach; output signal; signal samples; system response; time-variant responses; time-variant second order moments; time-variant systems identification; Additive noise; Array signal processing; Autocorrelation; Digital signal processing; Fading; Filters; Signal processing; State-space methods; System identification; Underwater communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681579

Filename

681579