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Sequential adaptive sampling algorithm to reduce the near field measurement time

Abstract : This paper presents a sequential adaptive sampling algorithm in order to reduce measurement time of near-field scan. The originality of this approach is to use a deterministic mesh swept to a sequential progressive adaptive algorithm that defines whether a point must be captured or not. All the parameters of the proposed algorithm is set according near-field characteristics and the measurement setup. This approach is validated on two case studies.
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https://hal.laas.fr/hal-02319466
Contributor : Alexandre Boyer <>
Submitted on : Friday, October 18, 2019 - 7:52:00 AM
Last modification on : Thursday, June 10, 2021 - 3:06:21 AM
Long-term archiving on: : Sunday, January 19, 2020 - 1:34:51 PM

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  • HAL Id : hal-02319466, version 1

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Sébastien Serpaud, Alexandre Boyer, Sonia Ben Dhia. Sequential adaptive sampling algorithm to reduce the near field measurement time. International Symposium on Electromagnetic Compatibility (EMC Europe 2019), Sep 2019, Barcelona, Spain. ⟨hal-02319466⟩

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