Abstract:

 The research concentrates on improving return loss performance in compact X-band antennas by optimizing the T-slot antenna configuration. This improvement is important for the development of high-performance, efficient antennas used in advanced communication systems. Traditional designs often face the conflicting goals of low return loss and high efficiency within the compact X-band dimensions. Existing methods are limited by the design parameters which are pre-set, resulting in insufficient return loss or other performance goals. This problem is solved in this paper by proposing a new approach that includes Parametric Optimization Using Genetic Algorithms (PO-GA) that optimizes the key parameters of the T-slot antenna through genetic algorithm design. This optimization is based on achieving the most negative return loss value with certain constants in slot size, feed position, and antenna shape. The proposed method is different from the conventional ones since it systematically navigates through the design space using computational techniques. Application of PO-GA yielded remarkable improvements in the return loss ratio, with the optimized designs outperforming previous standards in efficiency and bandwidth.