Antenna far-field prediction using restricted IDM based convex optimization

  • Sung Jun Yang
  • , Dal Jae Yun
  • , Hyung Ju Kim
  • , Jae In Lee
  • , Woo Yong Yang
  • , Noh Hoon Myung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

There are near-field and far-field measurements for the radiation field of antennas. Measuring the far-field pattern of an antenna requires huge measuring equipment, which is more difficult than measuring near-field radiation. In addition, calculation of the far-field radiation pattern is inevitable in the calculation of some parameters such as radar cross section. A method for predicting the far-field through near-field data using infinitesimal dipole modeling (IDM) is described in this paper. We also implemented IDM using convex optimization, which is a kind of deterministic algorithm. As a result, modeling can be performed more efficiently than IDM using the meta-heuristic algorithm. From the simulation results, we can confirm the tendency of the modeling accuracy change according to the near-field measurement condition.

Original languageEnglish
Title of host publication2017 Asia Pacific Microwave Conference, APMC 2017 - Proceedings
EditorsIdnin Pasya
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages737-739
Number of pages3
ISBN (Electronic)9781538606407
DOIs
StatePublished - 28 Jun 2017
Event2017 IEEE Asia Pacific Microwave Conference, APMC 2017 - Kuala Lumpur, Malaysia
Duration: 13 Nov 201716 Nov 2017

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC

Conference

Conference2017 IEEE Asia Pacific Microwave Conference, APMC 2017
Country/TerritoryMalaysia
CityKuala Lumpur
Period13/11/1716/11/17

Keywords

  • antenna radiation pattern
  • convex optimization
  • infinitesimal dipole modeling (IDM)

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