2015•Unpublished venueRequires access

Measurement uncertainty analysis of the electro-optical E-field measurement system

Xu Kong, Yan‐Zhao Xie

Open publisher page 2 citations

Abstract

The measurement uncertainty of the electro-optical E-field measurement system is analyzed and calculated in this paper. Firstly, by analyzing the measurement and calibration process, the mathematical model of the measurement system is proposed. Then the influence factors of the measuring result is listed and their individual uncertainties are calculated under some approximations and assumptions. Finally, the estimate of the relative expanded measurement uncertainty is 20%, under the confident level of 95%.

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What this paper is about

The measurement uncertainty of the electro-optical E-field measurement system is analyzed and calculated in this paper. Firstly, by analyzing the measurement and calibration process, the mathematical model of the measurement system is proposed. Then the influence factors of the measuring result is listed and their individual uncertainties are calculated under some approximations and assumptions. Finally, the estimate of the relative expanded measurement uncertainty is 20%, under the confident level of 95%.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The measurement uncertainty of the electro-optical E-field measurement system is analyzed and calculated in this paper. Firstly, by analyzing the measurement and calibration process, the mathematical model of the measurement system is proposed. Then the influence factors of the measuring result is listed and their individual uncertainties are calculated under some approximations and assumptions. Finally, the estimate of the relative expanded measurement uncertainty is 20%, under the confident level of 95%.

Key concepts: Measurement uncertainty, System of measurement, Field (mathematics), Calibration, Uncertainty analysis, Process (computing), Observational error, Computer science

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