Title
Adaptive sampling algorithm for macromodeling of parameterized **S**-parameter responses
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
New York, N.Y. ,
Subject
Engineering sciences. Technology
Computer. Automation
Source (journal)
IEEE transactions on microwave theory and techniques. - New York, N.Y.
Volume/pages
59(2011) :1 , p. 39-45
ISSN
0018-9480
ISI
000286109400004
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
This paper presents a new adaptive sampling strategy for the parametric macromodeling of -parameter-based frequency responses. It can be linked directly with the simulator to determine up front a sparse set of data samples that characterize the design space. This approach limits the overall simulation and macromodeling time. The resulting sample distribution can be fed into any kind of macromodeling technique, provided that it can deal with scattered data. The effectiveness of the approach is illustrated by a parameterized H-shaped microwave example.
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