An adaptive modeling method for the calibration of passive tuners

• Published in: 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
• Main Authors: Zyari, Maral, Ferranti, Francesco, Rolain, Yves
• Other Authors: Vrije Universiteit Amsterdam Amsterdam (VU), Lab-STICC_IMTA_MOM_DIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), Département Micro-Ondes (IMT Atlantique - MO), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2018
• Subjects: [SPI.TRON]Engineering Sciences [physics]/Electronics; Iceland
• Online Access: https://hal.science/hal-02009846; https://doi.org/10.1109/NEMO.2018.8503088

International audience We propose a new modeling technique that can be used for an efficient and adaptive calibration of passive microwave tuners based on mechanical probes that can move horizontally (X) and vertically (Y). The proposed technique adaptively samples the (X, Y ) space and builds a model for the scattering parameters of the tuner as a function of the X and Y position variables at different frequencies. The method samples the (X, Y) space in an automated way and selects the sample distribution to obtain a desired accuracy. The required user interaction is limited, the user needs to choose the desired frequencies and modeling accuracy for the calibration. Pertinent numerical results based on measurements validate the proposed approach.