Leis, John (2013) Simultaneous gain, drift and offset estimation in measurement systems using coherent sampling. In: 7th International Conference on Signal Processing and Communication Systems (ICSPCS 2013), 16-18 Dec 2013, Gold Coast, Australia.
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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.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Poster) |
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| Refereed: | No |
| Item Status: | Live Archive |
| Additional Information: | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -) |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -) |
| Date Deposited: | 05 Mar 2014 04:29 |
| Last Modified: | 21 Jul 2017 01:05 |
| Uncontrolled Keywords: | signal processing; measurement; noise; sensors |
| Fields of Research (2008): | 09 Engineering > 0906 Electrical and Electronic Engineering > 090603 Industrial Electronics 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing 09 Engineering > 0906 Electrical and Electronic Engineering > 090601 Circuits and Systems |
| Fields of Research (2020): | 40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400907 Industrial electronics 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing 40 ENGINEERING > 4008 Electrical engineering > 400801 Circuits and systems |
| Socio-Economic Objectives (2008): | B Economic Development > 86 Manufacturing > 8615 Instrumentation > 861501 Industrial Instruments |
| Identification Number or DOI: | https://doi.org/10.1109/ICSPCS.2013.6723972 |
| URI: | http://eprints.usq.edu.au/id/eprint/24061 |
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