Referenced Items are not available for this document.
This paper deals with a problem in optimal synthesis of smart measurement systems. A nonlinear model of the sensor is introduced, and directly applied to the derivation of optimal algorithms for processing measurement data. The analysis is performed for systems with both noncompensatory and compensatory sensors. It is assumed that a measurement is performed in the presence of random disturbances and noise. The algorithms developed take into account the limited input-output range of the sensor as well as the influence of its internal noise on measurement quality. Simultaneously, they automatically and optimally correct errors in the initial setting of the sensor's working point, as well as those caused by its random drift
Published in:
Instrumentation and Measurement, IEEE Transactions on
(Volume:47
,
Issue:
3
)
Date of Publication: Jun 1998
- Page(s):
- 659 - 665
- ISSN :
- 0018-9456
- INSPEC Accession Number:
- 6178298
- Digital Object Identifier :
- 10.1109/19.744319
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jun 1998
- Sponsored by :
- IEEE Instrumentation and Measurement Society
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