Applications of artificial neural networks to RF and microwave measurements
- 6 December 2001
- journal article
- Published by Hindawi Limited in International Journal of RF and Microwave Computer-Aided Engineering
- Vol. 12 (1) , 3-24
- https://doi.org/10.1002/mmce.10014
Abstract
This article describes how artificial neural networks (ANNs) can be used to benefit a number of RF and microwave measurement areas including vector network analysis (VNA). We apply ANNs to model a variety of on‐wafer and coaxial VNA calibrations, including open‐short‐load‐thru (OSLT) and line‐reflect‐match (LRM), and assess the accuracy of the calibrations using these ANN‐modeled standards. We find that the ANN models compare favorably to benchmark calibrations throughout the frequencies they were trained for. We summarize other current applications of ANNs, including the determination of permittivities of liquids from the reflection coefficient measurements of an open‐ended coaxial probe and the determination of moisture content of wheat from free‐space transmission coefficient measurements. We also discuss some potential applications of ANN models related to power measurements, material characterization, and the comparison of nonlinear vector network analyzers. © 2002 John Wiley & Sons, Inc. Int J RF and Microwave CAE 12: 3–24, 2002.Keywords
This publication has 19 references indexed in Scilit:
- Artificial neural network modeling for improved on-wafer OSLT calibration standardsInternational Journal of RF and Microwave Computer-Aided Engineering, 2000
- Artificial neural network modeling for improved coaxial line-reflect-match calibrationsInternational Journal of RF and Microwave Computer-Aided Engineering, 2000
- Artificial neural networks for fast and accurate EM-CAD of microwave circuitsIEEE Transactions on Microwave Theory and Techniques, 1997
- The application of neural networks to EM-based simulation and optimization of interconnects in high-speed VLSI circuitsIEEE Transactions on Microwave Theory and Techniques, 1997
- An artificial neural network model for effective dielectric constant of microstrip lineIEEE Transactions on Antennas and Propagation, 1997
- Design and optimization of CPW circuits using EM-ANN models for CPW componentsIEEE Transactions on Microwave Theory and Techniques, 1997
- Knowledge-based neural models for microwave designIEEE Transactions on Microwave Theory and Techniques, 1997
- EM-ANN models for microstrip vias and interconnects in dataset circuitsIEEE Transactions on Microwave Theory and Techniques, 1996
- A multiline method of network analyzer calibrationIEEE Transactions on Microwave Theory and Techniques, 1991
- Thru-Reflect-Line: An Improved Technique for Calibrating the Dual Six-Port Automatic Network AnalyzerIEEE Transactions on Microwave Theory and Techniques, 1979