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Finding the Probability Distribution Functions of $S$ -Parameters and Their Monte Carlo Simulation
- Source :
- IEEE Transactions on Instrumentation and Measurement. 61:2993-3002
- Publication Year :
- 2012
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2012.
-
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.
- Subjects :
- Computer science
Monte Carlo method
Rejection sampling
Markov chain Monte Carlo
Probability density function
Hybrid Monte Carlo
symbols.namesake
Statistics
symbols
Dynamic Monte Carlo method
Measurement uncertainty
Probability distribution
Monte Carlo integration
Monte Carlo method in statistical physics
Kinetic Monte Carlo
Statistical physics
Quasi-Monte Carlo method
Electrical and Electronic Engineering
Instrumentation
Random variable
Monte Carlo molecular modeling
Subjects
Details
- ISSN :
- 15579662 and 00189456
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Instrumentation and Measurement
- Accession number :
- edsair.doi...........b80eab0476545b11973109c6aa6b4a0a
- Full Text :
- https://doi.org/10.1109/tim.2012.2202165