Abstract
This article presents an optimization technique for the design of substrate-integrated waveguide (SIW) filters using knowledge-embedded space mapping. An effective coarse model is proposed to represent the SIW filter. The proposed coarse model can be analyzed in the available commercial software ADS. The embedded knowledge includes not only formulas but also extracted design curves, which help to build the mapping between the coarse and fine models. The effectiveness of the proposed method is demonstrated through a design example of a six-pole SIW filter. © 2012 Wiley Periodicals, Inc.
| Original language | English |
|---|---|
| Pages (from-to) | 603-609 |
| Journal | International Journal of RF and Microwave Computer-Aided Engineering |
| Volume | 22 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Sept 2012 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- filter
- knowledge-embedded
- optimization
- space mapping
- substrate-integrated waveguide
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