DocumentCode
149627
Title
Microwave power sensor calibration using direct comparison technique with different adaptors
Author
Tie Qiu ; Zhiping Lin ; Yueyan Shan ; Yu Song Meng
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
fDate
21-24 April 2014
Firstpage
1
Lastpage
6
Abstract
The effects of different adaptors on microwave power sensor calibration using direct comparison transfer technique have been investigated in this paper. The calibrations are implemented with a mathematical model developed recently. To verify its accuracy in calculating the calibration factor, a comparison is carried out between the mathematical model developed and those reported by other researchers. The comparison indicates that the model is suitable for microwave power sensor calibrations. For its implementations, a 0 dB adaptor, 10 dB, 20 dB and 30 dB attenuators are used to evaluate the effects from different adaptors. Preliminary results show that when the attenuation of an adaptor increases, the expanded uncertainty of the calibration factor increases correspondingly, following the Guide to the Expression of Uncertainty in Measurement (GUM). Moreover, the results of GUM are also verified with the Monte Carlo Method.
Keywords
calibration; mathematical analysis; measurement uncertainty; power measurement; sensors; GUM; Monte Carlo Method; adaptors; attenuators; calibration factor; direct comparison transfer technique; guide to the expression of uncertainty in measurement; mathematical model; microwave power sensor calibration; Attenuation; Attenuators; Calibration; Mathematical model; Measurement uncertainty; Standards; Uncertainty; adaptor; direct comparison transfer; measurement uncertainty; microwave power sensor calibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4799-2842-2
Type
conf
DOI
10.1109/ISSNIP.2014.6827632
Filename
6827632
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