A blind approach to Hammerstein model identification

Author

Bai, Er-Wei ; Fu, Minyue

Author_Institution

Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA

Volume

Issue

fYear

2002

fDate

7/1/2002 12:00:00 AM

Firstpage

1610

Lastpage

1619

Abstract

This paper discusses the Hammerstein model identification using a blind approach. By fast sampling at the output, it is shown that identification of the linear part can be achieved based only on the output measurements that makes the Hammerstein model identification possible without knowing the structure of the nonlinearity and the internal variables

Keywords

identification; nonlinear systems; signal sampling; Hammerstein model identification; IIR system; blind system identification; fast output sampling; linear part identification; nonlinear system; nonsampled discrete Hammerstein systems; numerical simulation; output measurements; signal processing; Communication system control; Convergence; Iterative methods; Least squares methods; Linear systems; Parameter estimation; Process control; Sampling methods; Signal processing; System identification;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2002.1011202

Filename

1011202

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=767007