Numerical Considerations to Improve the Reduced-Order Model Approach for Antenna Measurements

S. Corre*, L. Le Coq, N. Mezieres, M. Mattes, B. Fuchs

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The determination and validation of the radiation properties of antennas are necessary tasks in their development It often calls for the sophisticated and costly evaluation of the 3D radiation pattern. The Reduced-Order Model (ROM) has been successfully applied in antenna measurements to reduce the required number of sampling points over the scan surface, leading to faster field acquisitions. It is constructed by the Singular Value Decomposition (SVD) of the radiation matrix computed from the equivalent, or Huygens, surface principle, using the method of moments. In this article, we propose several studies aiming for a better and easier use of this technique as it deeply relies on numerical computations. In particular, the evaluated number of degrees of freedoms is investigated relatively to the dimensions of the equivalent surface, the area of the observation region and the stability with respect to various parameters. Also, the use of the Randomized Singular Value Decomposition (RSVD) to speed up the computation time of the ROM is studied. Validations based on both simulation and experimental data are shown.
Original languageEnglish
Title of host publication2022 Antenna Measurement Techniques Association Symposium (AMTA)
Number of pages6
PublisherIEEE
Publication date2022
ISBN (Electronic)978-1-7362351-4-0
DOIs
Publication statusPublished - 2022
EventThe 44th Annual Meeting and Symposium of the Antenna Measurement Techniques Association Symposium (AMTA) - The Westin Westminster, Denver, United States
Duration: 9 Oct 202214 Oct 2022

Conference

ConferenceThe 44th Annual Meeting and Symposium of the Antenna Measurement Techniques Association Symposium (AMTA)
LocationThe Westin Westminster
Country/TerritoryUnited States
CityDenver
Period09/10/202214/10/2022

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