ANN Modelling of Planar Filters Using Square Open Loop DGS Resonators
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.
KeywordsDefected ground structure Planar filter Coupling coefficient Artificial neural network Inverse model
Development of the neural model has been supported by the Serbian Ministry of Education, Science and Technological Development under the project TR 32025. The design procedure development, filter fabrication and measurements have been supported by the Ministry of Education, Republic of Bulgaria and Bulgarian National Science Fund under contract number DN 07/19/15.12.2016 “Methods of Estimation and Optimization of the Electromagnetic Radiation in Urban Areas”.
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