Scalable models of microwave system responses using sequential sampling on unstructured grids
Article first published online: 28 MAY 2013
Copyright © 2013 John Wiley & Sons, Ltd.
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Volume 27, Issue 1, pages 122–137, January/February 2014
How to Cite
Chemmangat, K., Ferranti, F., Dhaene, T. and Knockaert, L. (2014), Scalable models of microwave system responses using sequential sampling on unstructured grids. Int. J. Numer. Model., 27: 122–137. doi: 10.1002/jnm.1903
- Issue published online: 19 DEC 2013
- Article first published online: 28 MAY 2013
- Manuscript Accepted: 20 MAR 2013
- Manuscript Revised: 25 JAN 2013
- Manuscript Received: 2 OCT 2012
- scalable macromodeling;
- sequential sampling
This paper presents two sequential sampling algorithms for the macromodeling of parameterized system responses in model-dependent sampling frameworks. The construction of efficient algorithms for the automatic selection of samples for building scalable macromodels of frequency-domain responses is addressed in this paper. The sequential sampling algorithms proposed here are tailored toward the application of local scalable macromodeling schemes on unstructured design space grids. Two pertinent examples are considered. For the first one, different algorithms are applied, and a comparison is made in terms of the number of samples generated, accuracy and CPU time. As a second example, four design variables are taken into account with one of the proposed algorithms, and the generated model is used in a frequency-domain optimization. Copyright © 2013 John Wiley & Sons, Ltd.