Calibration and estimation of redundant signals

Asok Ray; Shashi Phoha

doi:10.1109/acc.2002.1023223

Calibration and estimation of redundant signals

Asok Ray
, Shashi Phoha

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper presents an adaptive filter for real-time calibration of redundant signals consisting of sensor data and/or analytically derived measurements. The measurement noise covariance matrix is adjusted as a function of the a posteriori probabilities of failure of the individual signals. An estimate of the measured variable is obtained as a weighted average of the calibrated signals. The weighting matrix is recursively updated in real time instead of being fixed a priori. The filter software is presently hosted in a Pentium platform and is portable to other commercial platforms. The filter can be used to enhance the Instrumentation & Control System Software in large-scale dynamical systems.

Original language	English (US)
Pages (from-to)	1437-1442
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	2
DOIs	https://doi.org/10.1109/acc.2002.1023223
State	Published - 2002
Event	2002 American Control Conference - Anchorage, AK, United States Duration: May 8 2002 → May 10 2002

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2002.1023223

Cite this

@article{90df10b4e4c44b9d991900fefd0f37c0,

title = "Calibration and estimation of redundant signals",

abstract = "This paper presents an adaptive filter for real-time calibration of redundant signals consisting of sensor data and/or analytically derived measurements. The measurement noise covariance matrix is adjusted as a function of the a posteriori probabilities of failure of the individual signals. An estimate of the measured variable is obtained as a weighted average of the calibrated signals. The weighting matrix is recursively updated in real time instead of being fixed a priori. The filter software is presently hosted in a Pentium platform and is portable to other commercial platforms. The filter can be used to enhance the Instrumentation \& Control System Software in large-scale dynamical systems.",

author = "Asok Ray and Shashi Phoha",

note = "Funding Information: The research work reported in this paper has been supported in part by: Office of Naval Research under Grant No. N00014-97-1-0786; and National Academy of Sciences under a Research Fellowship award to the first author. ; 2002 American Control Conference ; Conference date: 08-05-2002 Through 10-05-2002",

year = "2002",

doi = "10.1109/acc.2002.1023223",

language = "English (US)",

volume = "2",

pages = "1437--1442",

journal = "Proceedings of the American Control Conference",

issn = "0743-1619",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Calibration and estimation of redundant signals

AU - Ray, Asok

AU - Phoha, Shashi

N1 - Funding Information: The research work reported in this paper has been supported in part by: Office of Naval Research under Grant No. N00014-97-1-0786; and National Academy of Sciences under a Research Fellowship award to the first author.

PY - 2002

Y1 - 2002

N2 - This paper presents an adaptive filter for real-time calibration of redundant signals consisting of sensor data and/or analytically derived measurements. The measurement noise covariance matrix is adjusted as a function of the a posteriori probabilities of failure of the individual signals. An estimate of the measured variable is obtained as a weighted average of the calibrated signals. The weighting matrix is recursively updated in real time instead of being fixed a priori. The filter software is presently hosted in a Pentium platform and is portable to other commercial platforms. The filter can be used to enhance the Instrumentation & Control System Software in large-scale dynamical systems.

AB - This paper presents an adaptive filter for real-time calibration of redundant signals consisting of sensor data and/or analytically derived measurements. The measurement noise covariance matrix is adjusted as a function of the a posteriori probabilities of failure of the individual signals. An estimate of the measured variable is obtained as a weighted average of the calibrated signals. The weighting matrix is recursively updated in real time instead of being fixed a priori. The filter software is presently hosted in a Pentium platform and is portable to other commercial platforms. The filter can be used to enhance the Instrumentation & Control System Software in large-scale dynamical systems.

UR - https://www.scopus.com/pages/publications/0036055628

UR - https://www.scopus.com/pages/publications/0036055628#tab=citedBy

U2 - 10.1109/acc.2002.1023223

DO - 10.1109/acc.2002.1023223

M3 - Conference article

AN - SCOPUS:0036055628

SN - 0743-1619

VL - 2

SP - 1437

EP - 1442

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2002 American Control Conference

Y2 - 8 May 2002 through 10 May 2002

ER -

Calibration and estimation of redundant signals

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this