Miniaturization of microstrip antennas using defected ground plane

This work proposes an novel idea of microstrip patch antenna miniaturization using the artificially created defect in the ground plane. A dumbbell shaped defect has been created in the ground plane of inset-fed microstrip patch antenna and its effect on the performance is analyzed. In normal course, a specified inset-fed microstrip patch antenna has shown resonant frequency of 3.6 GHz and defect compels this frequency band to shift towards a lower side. Thereby miniaturization of the antenna is justified. For analyzing miniaturized antennas, a trained artificial neural network was developed by varying the dimensions of the defect. Dimensional parameter of the defect is inputs to ANN module and it delivers the resonance frequency as a response. Theoretically calculated (simulated) results have been compared with the ANN and method is validated.