Calibration and estimation of redundant signals

Asok Ray, Shashi Phoha

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


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 languageEnglish (US)
Pages (from-to)1437-1442
Number of pages6
JournalProceedings of the American Control Conference
StatePublished - 2002
Event2002 American Control Conference - Anchorage, AK, United States
Duration: May 8 2002May 10 2002

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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