An adaptive modeling method for the calibration of passive tuners

Maral Zyari 1 Francesco Ferranti 2, 3 Yves Rolain 1
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : 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.
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Maral Zyari, Francesco Ferranti, Yves Rolain. An adaptive modeling method for the calibration of passive tuners. 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Aug 2018, Reykjavik, Iceland. ⟨10.1109/NEMO.2018.8503088⟩. ⟨hal-02009846⟩



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