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Noise-Parameter Uncertainties: A Monte Carlo Simulation

This paper reports the formulation and results of a Monte Carlo study of uncertainties in noise-parameter measurements. The simulator permits the computation of the dependence of the uncertainty in the noise parameters on uncertainties in the underlying quantities. Results are obtained for the effec...

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Detalles Bibliográficos
Autor principal: Randa, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861381/
https://www.ncbi.nlm.nih.gov/pubmed/27446744
http://dx.doi.org/10.6028/jres.107.037
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author Randa, J.
author_facet Randa, J.
author_sort Randa, J.
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description This paper reports the formulation and results of a Monte Carlo study of uncertainties in noise-parameter measurements. The simulator permits the computation of the dependence of the uncertainty in the noise parameters on uncertainties in the underlying quantities. Results are obtained for the effect due to uncertainties in the reflection coefficients of the input terminations, the noise temperature of the hot noise source, connector variability, the ambient temperature, and the measurement of the output noise. Representative results are presented for both uncorrelated and correlated uncertainties in the underlying quantities. The simulation program is also used to evaluate two possible enhancements of noise-parameter measurements: the use of a cold noise source as one of the input terminations and the inclusion of a measurement of the “reverse configuration,” in which the noise from the amplifier input is measured directly.
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spelling pubmed-48613812016-07-21 Noise-Parameter Uncertainties: A Monte Carlo Simulation Randa, J. J Res Natl Inst Stand Technol Article This paper reports the formulation and results of a Monte Carlo study of uncertainties in noise-parameter measurements. The simulator permits the computation of the dependence of the uncertainty in the noise parameters on uncertainties in the underlying quantities. Results are obtained for the effect due to uncertainties in the reflection coefficients of the input terminations, the noise temperature of the hot noise source, connector variability, the ambient temperature, and the measurement of the output noise. Representative results are presented for both uncorrelated and correlated uncertainties in the underlying quantities. The simulation program is also used to evaluate two possible enhancements of noise-parameter measurements: the use of a cold noise source as one of the input terminations and the inclusion of a measurement of the “reverse configuration,” in which the noise from the amplifier input is measured directly. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2002 2002-10-01 /pmc/articles/PMC4861381/ /pubmed/27446744 http://dx.doi.org/10.6028/jres.107.037 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Randa, J.
Noise-Parameter Uncertainties: A Monte Carlo Simulation
title Noise-Parameter Uncertainties: A Monte Carlo Simulation
title_full Noise-Parameter Uncertainties: A Monte Carlo Simulation
title_fullStr Noise-Parameter Uncertainties: A Monte Carlo Simulation
title_full_unstemmed Noise-Parameter Uncertainties: A Monte Carlo Simulation
title_short Noise-Parameter Uncertainties: A Monte Carlo Simulation
title_sort noise-parameter uncertainties: a monte carlo simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4861381/
https://www.ncbi.nlm.nih.gov/pubmed/27446744
http://dx.doi.org/10.6028/jres.107.037
work_keys_str_mv AT randaj noiseparameteruncertaintiesamontecarlosimulation