Designing of E-shaped Microstrip Antenna and Parameters Estimation using ANN

Abstract: The microstrip antenna finds its place in varied and upcoming technologies because it offers low profile, narrow bandwidth, high gain, and compact antenna element. The biggest disadvantage of microstrip antenna is its narrow bandwidth and poor impedance matching capacity. To make microstrip antenna compatible with commercial applications, the bandwidth enhancement and impedance matching of such antennas has to be done. In order to improve the bandwidth - L probe and U slot techniques should be utilized, as they are efficient to enhance the bandwidth. In this research, Microstrip patch antenna is integrated with coaxial feed technique. The impedance matching of antenna depends upon type and position of the feed because impedance matching of source at the feeding point of antenna is very important for efficient operation of antenna. But it is not an easy as it looks, it’s fairly difficult to be achieved for a simple microstrip patch antenna. To solve the problem an Artificial Neural Network (ANN) model has been proposed in this research. Artificial Neural Network is highly simplified model of biological neural network to calculate the parameters by estimation.

Keywords: Microstrip Patch Antenna; Microstrip Line feed; Coaxial Probe feed; NN tool; IE3D; ANN.