Abstract: Novel accurate and efficient equivalent circuit trained artificial neural-network (EC-ANN) models,which inherit and improve upon EC model and EM-ANN models’ advantages,are developed for coplanar waveguide (CPW) discontinuities.Modeled discontinuities include:CPW step,interdigital capacitor,symmetric cross junction,and spiral inductor,for which validation tests are performed.These models allow for circuit design,simulation,and optimization within a CAD simulator.Design and realization of a coplanar lumped element band pass filter on GaAs using the developed CPW EC-ANN models are demonstrated.

Key words: CPW, discontinuities, models, equivalent circuit, artificial neural-network, band pass filter