Design of SIW filters in D-band using invertible neural nets

Huan Yu, Hakki Mert Torun, Mutee Ur Rehman, Madhavan Swaminathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


Inverse design of microwave circuits and electronic systems is challenging due to the ambiguous mapping relationship from output response to input design parameters. In this paper, we apply invertible neural networks (INN) for addressing inverse design problems, where geometrical parameters are estimated given the desired performance. In the proposed approach, the bi-directional inference processes are learnt using an INN. During the inverse process, the posterior distribution of the design parameters are reproduced based on the target response, which is especially advantageous in cases where similar design performances can be achieved with different parameter combinations. The effectiveness of the method is demonstrated using an inverse design example of substrate integrated waveguide (SIW) filter in D-band.

Original languageEnglish (US)
Title of host publicationIMS 2020 - 2020 IEEE/MTT-S International Microwave Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781728168159
StatePublished - Aug 2020
Event2020 IEEE/MTT-S International Microwave Symposium, IMS 2020 - Virtual, Los Angeles, United States
Duration: Aug 4 2020Aug 6 2020

Publication series

NameIEEE MTT-S International Microwave Symposium Digest
ISSN (Print)0149-645X


Conference2020 IEEE/MTT-S International Microwave Symposium, IMS 2020
Country/TerritoryUnited States
CityVirtual, Los Angeles

All Science Journal Classification (ASJC) codes

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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