Application of the reduced basis method to ID quasi-periodic array modeling

Maokun Li, Xunwang Dang, Fan Yang, Shenheng Xu, Weng Cho Chew

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

Abstract

The reduced basis method is a model-order reduction technique that converts the original system equations into smaller ones using a reduced basis set. This basis set is usually derived from a set of solutions of the system equation with different values of control parameters. If the system model changes affinely with the parameter values, a reduced-order model can be derived. In this abstract, we apply the reduced basis method to method of moments for quasi-periodic array modeling. With this method, a new basis set for a single element is constructed through an offline process. Because of the similarities among elements, the number of basis functions for each element can be much less than directing modeling from geometrical mesh. Numerical example shows that both the computational and memory efficiency is improved compared with direct modeling using method of moments.

Original languageEnglish (US)
Title of host publication2016 IEEE/ACES International Conference on Wireless Information Technology, ICWITS 2016 and System and Applied Computational Electromagnetics, ACES 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509012596
DOIs
StatePublished - May 4 2016
EventIEEE/ACES International Conference on Wireless Information Technology, ICWITS 2016 and System and Applied Computational Electromagnetics, ACES 2016 - Honolulu, United States
Duration: Mar 13 2016Mar 17 2016

Publication series

Name2016 IEEE/ACES International Conference on Wireless Information Technology, ICWITS 2016 and System and Applied Computational Electromagnetics, ACES 2016 - Proceedings

Other

OtherIEEE/ACES International Conference on Wireless Information Technology, ICWITS 2016 and System and Applied Computational Electromagnetics, ACES 2016
CountryUnited States
CityHonolulu
Period3/13/163/17/16

ASJC Scopus subject areas

  • Computational Mathematics
  • Signal Processing
  • Instrumentation
  • Computer Networks and Communications

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  • Cite this

    Li, M., Dang, X., Yang, F., Xu, S., & Chew, W. C. (2016). Application of the reduced basis method to ID quasi-periodic array modeling. In 2016 IEEE/ACES International Conference on Wireless Information Technology, ICWITS 2016 and System and Applied Computational Electromagnetics, ACES 2016 - Proceedings [7465347] (2016 IEEE/ACES International Conference on Wireless Information Technology, ICWITS 2016 and System and Applied Computational Electromagnetics, ACES 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPACES.2016.7465347