UNCERTAINTY EVALUATION USING LAW OF PROPAGATION AND MONTE CARLO SIMULATION METHODS WITH THE AUTORFPOWER MEASUREMENT SOFTWARE

Year 2024, Volume: 12 Issue: 3, 596 - 607, 01.09.2024

Erkan Danacı , Aliye Kartal Doğan , Engin Can Çiçek , Anıl Çetinkaya , Muhammed Çağrı Kaya , M. S. Halit Oğuztüzün , Gülsün Tünay

https://doi.org/10.36306/konjes.1364464

Abstract

RF power measurement is essential in RF and microwave metrology. For reliable and accurate power measurement, automatic measurement is preferred. A software application in C#, named AutoRFPower, was developed for automatic RF power measurement and uncertainty calculations at this study. According to the GUM document, this application is enhanced for uncertainty calculations by utilizing the Law of Propagation method and the Monte Carlo Simulation method. Trial measurements were performed at different RF power levels and frequencies between 50 MHz and 18 GHz using the AutoRFPower software. Law of Propagation and Monte Carlo Simulation uncertainty calculations were carried out by AutoRFPower based on the trial measurements and by the Oracle Crystal Ball simulation application. All measurements and their uncertainty calculations were compared with each other, and this study validated the uncertainty calculation of AutoRFPower. In addition, it was observed that in the Monte Carlo Simulation, uncertainty calculation results were non-symmetrical normal distribution, contrary to the assumption of symmetrical normal distribution according to the Low of Propagation method. Moreover, it has been observed that the statistical distribution of uncertainty changes depending on the dominant component of the parameters in the model function used for the uncertainty calculation with the Monte Carlo Simulation method.

Keywords

Auto RF Power Measurement, Law of Propagation Method, Monte Carlo Simulation Method, Uncertainty Calculation

Ethical Statement

The authors of this article declare that the materials and methods used in this study do not require ethical committee permission and/or legal-special permission.

Supporting Institution

This work is supported by The Scientific and Technological Research Council of Turkey (TÜBİTAK) under Grant No. 5200040 entitled “A New Method and Software Development for Automatic RF Power Measurement and RF Power Meter Calibration”.

Project Number

5200040

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