Research Article
ANN Modelling of Planar Filters Using Square Open Loop DGS Resonators
@INPROCEEDINGS{10.1007/978-3-030-23976-3_32, author={Marin Nedelchev and Zlatica Marinkovic and Alexander Kolev}, title={ANN Modelling of Planar Filters Using Square Open Loop DGS Resonators}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings}, proceedings_a={FABULOUS}, year={2019}, month={9}, keywords={Defected ground structure Planar filter Coupling coefficient Artificial neural network Inverse model}, doi={10.1007/978-3-030-23976-3_32} }- Marin Nedelchev
Zlatica Marinkovic
Alexander Kolev
Year: 2019
ANN Modelling of Planar Filters Using Square Open Loop DGS Resonators
FABULOUS
Springer
DOI: 10.1007/978-3-030-23976-3_32
Abstract
This paper presents a novel modelling method for planar defected ground structure (DGS) square open loop resonator filters. The increased complexity of the coupling mechanism between the resonators and the impossibility to analytically calculate the coupling coefficients created the need of accurate modelling of the coupled resonators. Design process requires to calculate the filter dimension for the given coupling coefficient. A novel method based on artificial neural networks (ANNs) is proposed in this paper. ANNs are used to develop the filter forward and inverse models aimed to calculate the spacing between the resonators for predetermined coupling coefficients from the approximation. An example filter is designed, simulated and measured. A very good agreement between the measurements and the filter requirements is observed.
