![]() ![]() However, such devices often include bulky external dipole antennas. To avoid antenna redesign, commercial communication devices can be used. ![]() As the resonant frequency of an antenna is affected by its shape and surrounding materials in a device, the antenna must be modified whenever the device design is changed. The most recent electronic devices support wireless communication, for which an antenna operating at a specific frequency band must be used. In addition, the desired matching values for unlearned square and triangular waves were obtained during testing. During training, the loss converged as the number of epochs increased. The DNN was then constructed considering the magnitude of impedance S 11 as the input and the element values of the matching circuit as the output. A total of 377 training samples and 66 validation samples were obtained. For learning, the magnitude of input impedance S 11 of the antenna was extracted according to the element values of the matching circuit. A gamma-matching circuit consisting of a series capacitor and a parallel capacitor was applied to a conventional inverted-F antenna for impedance matching. In contrast, the element values of the matching circuit can be determined only using the impedance magnitude using the proposed DNN. For matching, the magnitude and phase of impedance should be known in general. The DNN determines the element values of the matching circuit without requiring a mathematical description of matching methods, and it approximates feasible solutions even for unimplementable inputs. We propose a deep neural network (DNN) to determine the matching circuit parameters for antenna impedance matching. ![]()
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