Uncertainty Evaluation of the Noise-Parameter Measurement with Monte Carlo Method
ZHENG Shiqi
WU Aihua
LIANG Faguo
Abstract：This article researches on the uncertainty evaluation of the Noise‐Parameter Measurement with Monte Carlo method .Measurement model depends on the equivalent Noise‐Parameter equation .With this model ,function equation re‐sults from the measurement system parameters are calculated in order to obtain data which describe the equivalent Noise‐Pa‐rameter distribution ,then deduct Noise‐Parameter & its distribution from equivalent Noise‐Parameters ,and lastly get the measurement uncertainty .This method realizes uncertainty evaluation of the Noise‐Parameter Measurement ,using combina‐tion of numerical random emulation and parameters boundary criterion ,which is consistent with international standard and widely used in a great many systems .Finally ,this article proves efficiency of the evaluation method and the reality and credi‐bility of the uncertainty evaluation data .
Keywords：Monte Carlo methodnoise-parameter measurementuncertainty evaluationverification of measurement
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 24-28 )