DocumentCode
2067096
Title
Blind multi-channel identification of ARMA systems: a least-squares approach
Author
Zhang, Yi ; Asada, Harry H.
Author_Institution
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Volume
3
fYear
2002
fDate
2002
Firstpage
2035
Abstract
A least-squares approach is proposed for blind multichannel identification of auto-regressive moving average (ARMA) systems. The AR parameters are identified by solving the modified Yule-Walker equations. The MA parameters are identified by exploring the cross-relation between the outputs.
Keywords
autoregressive moving average processes; identification; least squares approximations; ARMA systems; auto-regressive moving average systems; blind multi-channel identification; least-squares approach; modified Yule-Walker equations; Autocorrelation; Cardiovascular system; Equations; Finite impulse response filter; Laboratories; Mechanical engineering; Parameter estimation; Sampling methods; Sensor systems; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2002. Proceedings of the 2002
ISSN
0743-1619
Print_ISBN
0-7803-7298-0
Type
conf
DOI
10.1109/ACC.2002.1023934
Filename
1023934
Link To Document