Title :
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
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;
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
DOI :
10.1109/CPEM.2008.4574749
