S-functions behavioral model order reduction based on narrowband modulated large-signal network analyzer measurements
- 1 May 2010
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
In this paper we report for the first time on order reduction applied to S-functions behavioral models. The most dominant model parameters are selected based on the relative uncertainty of their estimated values evaluated against a threshold value. The selection procedure is performed on the same measurement data that is used to extract the model and obtained using a large-signal network analyzer. High level of model order reduction, achieved without any substantial loss of the prediction accuracy, is demonstrated on S-functions extracted for a packaged pHEMT device.Keywords
This publication has 3 references indexed in Scilit:
- S-functions extracted from narrow-band modulated large-signal network analyzer measurementsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Polyharmonic distortion modelingIEEE Microwave Magazine, 2006
- VIOMAP, the S-parameter equivalent for weakly nonlinear RF and microwave devicesIEEE Transactions on Microwave Theory and Techniques, 1994