Modeling of a compact triple band PIFA using knowledge based neural network

In this paper, a compact triple band planar inverted-F antenna (PIFA) has been proposed. Triple band is achieved by inserting slots on the top radiating patch. The dimension of the patch is 12 × 15 mm² and finite ground plane size is 44 × 40mm² which can easily be integrated inside the mobile phone. Further, a knowledge based neural network (KBNN) is used for designing of triple band PIFA. By using this method, accuracy is found to be really beneficial with the least amount of training data. This method requires less time and scales down the complexities of the design processes. The solutions obtained by this approach are compared with the CST simulation results. The results of the KBNN method are in good accord with the simulated values.