Method of Automated Dataset Collection for Microwave Filters Synthesis
Oleg V. Arinin, D. M. Bakhmach, A. I. Katsnelson, A. S. Kurbeteva, Andrey A. Yelizarov · 2025
This research discusses the method of dataset collection automatization for microwave filter synthesis by integrating machine learning techniques, thus reducing development time. Utilizing the 3D electromagnetic analysis software package, the study involves simulation and collecting geometric parameters and amplitude-frequency characteristics from three variants of passband highly selective microstrip tworesonator combined filters with stepped impedance resonators. In this paper, specific items and restrictions on filter topology creation in the simulation program are discussed, as well the review of the script used for dataset collection and its requirements is given. In addition, a dataset structure and format are described.