A blind approach to Hammerstein model identification

Er-Wei BAI; MINYUE FU

doi:10.1109/TSP.2002.1011202

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A blind approach to Hammerstein model identification

Journal article

Peer reviewed

A blind approach to Hammerstein model identification

Er-Wei BAI and MINYUE FU

IEEE transactions on signal processing, Vol.50(7), pp.1610-1619

2002

DOI: 10.1109/TSP.2002.1011202

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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.

Applied Sciences

Signal and communications theory

Telecommunications and information theory

Exact sciences and technology

Signal, noise

Information, signal and communications theory

Detection, estimation, filtering, equalization, prediction

Details

Title: Subtitle: A blind approach to Hammerstein model identification
Creators: Er-Wei BAI - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
MINYUE FU - Department of Electrical and Computer Engineering, The University of New Castle, Callaghan, Australia
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.50(7), pp.1610-1619
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2002.1011202
ISSN: 1053-587X
eISSN: 1941-0476
Language: English
Date published: 2002
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083226902771

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