Generic implementation of Monte Carlo method for uncertainty evaluation. Application to calibration of RF power sensors

Author

Lazaro, L.G. ; Quesada, JL ; Cerrudo, A. ; Ruiz, J. ; Alcantarilla, A.

Author_Institution

TPYCEA, Madrid

fYear

2008

fDate

8-13 June 2008

Firstpage

254

Lastpage

255

Abstract

The ISO GUM provides a framework for uncertainty evaluation using the law of propagation of uncertainty (GUF). The output quantity is characterized by a Gaussian or student-t distribution. Supplement one to the GUM deals with the propagation of probability distributions of the input quantities of a mathematical model of measurement for the evaluation of uncertainty by a Monte Carlo method. This paper gives an overview of the application of this method and integration with an automated software calibration. The method is applied to power sensors calibration, and results are used to validate the applicability of GUF.

Keywords

Gaussian distribution; Monte Carlo methods; calibration; electric sensing devices; measurement uncertainty; probability; Gaussian distribution; Monte Carlo method; automated software calibration; calibration; probability distributions; rf power sensors; student-t distribution; uncertainty evaluation; Application software; Calibration; Databases; Mathematical model; Measurement uncertainty; Monte Carlo methods; Power measurement; Radio frequency; Sensor phenomena and characterization; Sensor systems and applications;

fLanguage

English

Publisher

ieee

Conference_Titel

Precision Electromagnetic Measurements Digest, 2008. CPEM 2008. Conference on

Conference_Location

Broomfield, CO

Print_ISBN

978-1-4244-2399-6

Electronic_ISBN

978-1-4244-2400-9

Type

conf

DOI

10.1109/CPEM.2008.4574749

Filename

4574749