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Importance of Preserving Correlations in Error-Vector-MagnitudeUncertainty

Published

Author(s)

Ben Jamroz, Dylan Williams, Kate Remley, Rob Horansky

Abstract

Correlations are an important consideration in the uncertainty analysis of high-frequency electronic systems. We introduce a method to scramble the correlations of a correlated uncertainty analysis and develop a software tool to do this as part of the NIST Microwave Uncertainty Framework. We then compare the results of a correlated uncertainty analysis and the scrambled analysis in estimating the uncertainty in Error-Vector- Magnitude of a modulated signal. This comparison shows that preserving correlations in uncertainties is critical to accurately assessing system performance and uncertainty.
Proceedings Title
91st ARFTG Microwave Measurement Conference
Conference Dates
June 15-17, 2018
Conference Location
Philadelphia, PA, US

Keywords

measurement uncertainty, Monte Carlo methods, digital modulation, error-vector-magnitude

Citation

Jamroz, B. , Williams, D. , Remley, K. and Horansky, R. (2018), Importance of Preserving Correlations in Error-Vector-MagnitudeUncertainty, 91st ARFTG Microwave Measurement Conference, Philadelphia, PA, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=925425 (Accessed July 21, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 14, 2018, Updated April 13, 2022