DocumentCode :
1248958
Title :
Finding the Probability Distribution Functions of S -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 :
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