Simultaneous gain, drift and offset estimation in measurement systems using coherent sampling

Paper

Leis, John. 2013. "Simultaneous gain, drift and offset estimation in measurement systems using coherent sampling." Wysocki, Tadeusz A. and Wysocki, Beata J. (ed.) 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS 2013). Gold Coast, Australia 16 - 18 Dec 2013 United States. https://doi.org/10.1109/ICSPCS.2013.6723972
Paper/Presentation Title

Simultaneous gain, drift and offset estimation in measurement systems using coherent sampling

Presentation TypePaper
Authors
AuthorLeis, John
EditorsWysocki, Tadeusz A. and Wysocki, Beata J.
Journal or Proceedings TitleProceedings of the 7th International Conference on Signal Processing and Communication Systems (ICSPCS 2013)
Number of Pages5
Year2013
Place of PublicationUnited States
ISBN9781479913190
Digital Object Identifier (DOI)https://doi.org/10.1109/ICSPCS.2013.6723972
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/6723972
Conference/Event2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS 2013)
Event Details
Rank
C
C
C
C
C
C
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Event Details
2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS 2013)
Parent
International Conference on Signal Processing and Communication Systems
Event Date
16 to end of 18 Dec 2013
Event Location
Gold Coast, Australia
Abstract

In instrumentation and measurement systems, external noise is often a significant problem. The particular signal processing techniques employed to enable such measurements depend somewhat on the nature of the problem at hand, what is able to be measured, and other factors. Techniques such as coherent averaging and synchronous detection take advantage of situations where a time-synchronous signal is available. A problem which may prevent successful application of these methods is the presence of slowly-changing drift, which is inevitably associated with many types of sensors. In this paper, a novel technique is proposed to estimate the measured signal amplitude using a matrix representation of coherently sampled repetitive measurement sweeps. It is also shown how the technique may be extended using partitioning of the signal matrix to account for both sensor offset and linear time drift. The method is able to simultaneously produce good estimates of the signal amplitude, drift and offset. Results demonstrate that the technique is promising when applied in situations where sensor drift precludes the normal application of synchronous detection.

Keywordssignal processing; measurement; noise; sensors
ANZSRC Field of Research 2020400907. Industrial electronics
400607. Signal processing
400801. Circuits and systems
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Byline AffiliationsSchool of Mechanical and Electrical Engineering
Institution of OriginUniversity of Southern Queensland
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