DocumentCode
1248958
Title
Finding the Probability Distribution Functions of
-Parameters and Their Monte Carlo Simulation
Author
Agili, Sedig S. ; Morales, Aldo W. ; Li, Ji ; Resso, Michael
Author_Institution
Dept. of Electr. Eng., Pennsylvania State Univ. at Harrisburg, Middletown, PA, USA
Volume
61
Issue
11
fYear
2012
Firstpage
2993
Lastpage
3002
Abstract
This paper presents the probability distribution function (PDF) of the ratio of two random waves. This result is used to obtain the PDF of S-parameters random errors in magnitude (in decibels) and phase, which are the quantities that most engineers work with. These results are further used on the development of a Monte Carlo simulation method in order to predict the variability of frequency-domain measurements. Experiments are performed to identify and characterize frequency-domain random errors, such as instrument noise, connector repeatability, and calibration variations, in measurement systems. By comparing with real measurement data, it is shown that random-error effects can be accurately estimated by the PDF´s obtained and the Monte Carlo technique.
Keywords
Monte Carlo methods; S-parameters; calibration; frequency-domain analysis; measurement uncertainty; network analysers; probability; Monte Carlo simulation; S-parameters; calibration variations; connector repeatability; frequency-domain measurements; frequency-domain random errors; instrument noise; probability distribution functions; random waves; Calibration; Frequency measurement; Measurement uncertainty; Monte Carlo methods; Probability distribution; Random variables; Uncertainty; Frequency-domain measurements; Monte Carlo method; probability distribution function (PDF); random errors; uncertainty; vector network analyzer (VNA);
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2012.2202165
Filename
6246705
Link To Document