Uncertainty Quantification for a Microstrip Self-Biased Ku-band Circulator - Université de Bretagne Occidentale
Conference Papers Year : 2023

Uncertainty Quantification for a Microstrip Self-Biased Ku-band Circulator

Abstract

This paper focuses on uncertainty quantification for a Y-junction circulator. In the process of transitioning from prototyping to mass-production it is very important to understand how the uncertainties affecting input design parameters impact crucial features of the device behavior such as bandwidth or resonant frequency. This paper demonstrates the construction of a polynomial chaos expansion metamodel and its use in performing sensitivity analysis. The impact of the various sources of uncertainty affecting the circulator's behavior is quantified and the results are discussed.
Fichier principal
Vignette du fichier
Uncertainty_Quantification_for_a_Microstrip_Self-Biased_Ku-band_Circulator_APMC_2023_vf.pdf (894.13 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04404655 , version 1 (19-01-2024)

Identifiers

  • HAL Id : hal-04404655 , version 1

Cite

Yoan Le Noane, Evan Roué, Norbert Parker, Mihai Telescu, Vincent Laur, et al.. Uncertainty Quantification for a Microstrip Self-Biased Ku-band Circulator. Asia-Pacific Microwave Conference (APMC2023), Dec 2023, Taipei, Taiwan. ⟨hal-04404655⟩
22 View
22 Download

Share

More