Modeling of a compact dual band PIFA using hybrid neural network

Abstract

In this paper, a compact dual band planar inverted-F antenna (PIFA) has been proposed. Dual band is achieved by inserting slots on the top radiating patch. The dimension of the patch is 15 × 12 mm2 and finite ground plane size is 44×40mm2 which can easily be integrated inside the mobile phone. Further, a hybrid neural network (HNN) is used for the design of dual band PIFA. This method is more accurate and requires less time. The HNN results are compared with the CST simulation results and are found to be in good accord.