DocumentCode :
2203159
Title :
The evaluation of the uncertainty associated with comparison loss in microwave power meter calibration
Author :
Cox, Maurice ; Harris, Peter ; Iuculano, Gaetano ; Pellegrini, Gabriella
Author_Institution :
Nat. Phys. Lab., Teddington
fYear :
2006
fDate :
20-21 April 2006
Firstpage :
34
Lastpage :
39
Abstract :
A model of comparison loss in microwave power meter calibration is considered in the case when the standard power meter used for calibration and the signal generator to which this meter and the meter to be calibrated are connected are reflectionless. The uncertainty associated with an estimate of the model output quantity, viz., the ratio of the power absorbed by the meter being calibrated and that absorbed by the standard, is to be evaluated given estimates of the model input quantities, the standard uncertainties associated with those estimates, and a correlation coefficient relating to the estimates. This problem is addressed using three approaches, viz.: (1) the GUM uncertainty framework; (2) the propagation of distributions, implemented using a Monte Carlo method; and (3) analytical or semi-analytical. Circumstances in which approach: (1) can provide invalid solutions, whereas (2) provides sound numerical solutions, are identified
Keywords :
Monte Carlo methods; calibration; measurement uncertainty; microwave measurement; power meters; signal generators; GUM uncertainty framework; Monte Carlo method; correlation coefficient; measurement uncertainty; microwave power meter calibration; signal generator; standard uncertainties; Acoustic propagation; Acoustic reflection; Calibration; Laboratories; Measurement standards; Power measurement; Signal generators; Uncertainty; Voltage; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2006. AMUEM 2006. Proceedings of the 2006 IEEE International Workshop on
Conference_Location :
Sardagna
Print_ISBN :
1-4244-0249-2
Type :
conf
DOI :
10.1109/AMYEM.2006.1650745
Filename :
1650745
Link To Document :
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