Application of Blind Identification to Calibration of Sensors

Laurent Vanbeylen; Rik Pintelon; Joannes Schoukens

Application of Blind Identification to Calibration of Sensors

Laurent Vanbeylen, Rik Pintelon, Joannes Schoukens

Electricity

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Abstract

This paper handles the identification of nonlinear discrete-time Wiener systems from output measurements only (blind identification). Assuming that the unobserved input is white Gaussian noise, that the static nonlinearity is invertible, and that the output is observed without errors, a Gaussian maximum likelihood estimator is constructed. A two-step procedure for generating high quality starting values is presented as well. Finally, the proposed scheme is applied to both a simulation example and a laboratory experiment, illustrating the potential usefulness of the method for nonlinear calibration applications.

Original language	English
Title of host publication	IMTC/2007, Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007
Publication status	Published - 1 May 2007
Event	Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden Duration: 21 Sep 2009 → 25 Sep 2009

Conference

Conference	Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet
Country/Territory	Sweden
City	Stockholm
Period	21/09/09 → 25/09/09

Access to Document

http://wwwtw.vub.ac.be/elec/Papers%20on%20web/Papers/LaurentVBeylen/IMTC07Laurent.pdf

IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference
Joannes Schoukens (Speaker)
1 May 2007 → 3 May 2007
Activity: Talk or presentation › Talk or presentation at a conference
IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference
Johan Paduart (Speaker)
1 May 2007 → 3 May 2007
Activity: Talk or presentation › Talk or presentation at a conference
IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference
Rik Pintelon (Speaker)
1 May 2007 → 3 May 2007
Activity: Talk or presentation › Talk or presentation at a conference

Cite this

@inproceedings{11bebcb063a94c0b8bb96c011c4f6213,

title = "Application of Blind Identification to Calibration of Sensors",

abstract = "This paper handles the identification of nonlinear discrete-time Wiener systems from output measurements only (blind identification). Assuming that the unobserved input is white Gaussian noise, that the static nonlinearity is invertible, and that the output is observed without errors, a Gaussian maximum likelihood estimator is constructed. A two-step procedure for generating high quality starting values is presented as well. Finally, the proposed scheme is applied to both a simulation example and a laboratory experiment, illustrating the potential usefulness of the method for nonlinear calibration applications.",

author = "Laurent Vanbeylen and Rik Pintelon and Joannes Schoukens",

year = "2007",

month = may,

day = "1",

language = "English",

isbn = "1-4244-0589-0",

booktitle = "IMTC/2007, Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007",

note = "Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",

}

Vanbeylen, L, Pintelon, R & Schoukens, J 2007, Application of Blind Identification to Calibration of Sensors. in IMTC/2007, Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007. Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09. <http://wwwtw.vub.ac.be/elec/Papers%20on%20web/Papers/LaurentVBeylen/IMTC07Laurent.pdf>

TY - GEN

T1 - Application of Blind Identification to Calibration of Sensors

AU - Vanbeylen, Laurent

AU - Pintelon, Rik

AU - Schoukens, Joannes

PY - 2007/5/1

Y1 - 2007/5/1

N2 - This paper handles the identification of nonlinear discrete-time Wiener systems from output measurements only (blind identification). Assuming that the unobserved input is white Gaussian noise, that the static nonlinearity is invertible, and that the output is observed without errors, a Gaussian maximum likelihood estimator is constructed. A two-step procedure for generating high quality starting values is presented as well. Finally, the proposed scheme is applied to both a simulation example and a laboratory experiment, illustrating the potential usefulness of the method for nonlinear calibration applications.

AB - This paper handles the identification of nonlinear discrete-time Wiener systems from output measurements only (blind identification). Assuming that the unobserved input is white Gaussian noise, that the static nonlinearity is invertible, and that the output is observed without errors, a Gaussian maximum likelihood estimator is constructed. A two-step procedure for generating high quality starting values is presented as well. Finally, the proposed scheme is applied to both a simulation example and a laboratory experiment, illustrating the potential usefulness of the method for nonlinear calibration applications.

M3 - Conference paper

SN - 1-4244-0589-0

BT - IMTC/2007, Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007

T2 - Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet

Y2 - 21 September 2009 through 25 September 2009

ER -

Application of Blind Identification to Calibration of Sensors

Abstract

Conference

Access to Document

Fingerprint

Activities

IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference

IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference

IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference

Cite this