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Application of Clustering Technology and Gerchberg-Papoulis Algorithm for Spherical Near Field Antenna Measurements

  • Fangyun Peng*
  • , Junhao Zheng
  • , Xiaobo Liu
  • , Zhengpeng Wang
  • , Lei Zhao
  • , Xiaoming Chen
  • *Corresponding author for this work
  • Xi'an Jiaotong University
  • China University of Mining and Technology

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

Abstract

This paper presents an optimized interpolation and extrapolation scheme for spherical near-field antenna testing. The method starts with a small amount of initial sampling data, and uses the optimization method combining partition cluster classification and Gerchberg-Papoulis algorithm to interpolate and extrapolate randomly sampled data. This optimization scheme effectively reduces the number of samples, and achieves near-far-field conversion results with the same accuracy as triple oversampling. The results demonstrate the feasibility of the proposed scheme.

Original languageEnglish
Title of host publication2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665452366
DOIs
StatePublished - 2022
Event2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022 - Xuzhou, China
Duration: 9 Dec 202212 Dec 2022

Publication series

Name2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

Conference

Conference2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022
Country/TerritoryChina
CityXuzhou
Period9/12/2212/12/22

Keywords

  • extrapolation
  • partition clustering
  • spherical near-field testing
  • truncation

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