ANN Based RF Energy Harvesting Antenna Design

In this study, a rectangular microstrip patch antenna design using an artificial neural network (ANN) is presented for radio frequency (RF) energy harvesting applications. Epoxy FR4 material with a dielectric constant of 4.3 and a thickness of 1.6 mm was used as the dielectric substrate. The designed antenna has a dimension of ([60x38.7x1.6]) mm3. The designed antenna is intended to operate in the 2.4 GHz band. The ANN used in this study consists of an input layer, three hidden layers, and an output layer. First, a simulation is performed and the results obtained in terms of return losses and frequencies are fed to the ANN model. The model of the ANN algorithm that predicts S11 values in the relevant frequency range using the input parameters to obtain the return losses of the antenna in the relevant frequency range was developed in MATLAB. After the ANN was created, S11 values were predicted using new data through MATLAB, and the results were compared with the simulation results and measurement results of the antenna.