Abstract
In this study, a low-profile, high directive circular microstrip antenna was designed for 5.8 GHz ISM band applications. In the design, the GA / MoM approach based on the Method of Moments (MoM) integrated with the Genetic Algorithm (GA) optimization method was used. The simulations of the best first and second antennas obtained as a result of the optimization process were made using the ANSYS HFSS software program. According to the simulation results, it was determined that the return loss of both antennas was below 10 dB in the ISM band where the antenna was operating and had maximum directivity. It was observed that the radiation characteristics of both antennas obtained with the GA / MoM approach were steady-state in the operating band. It was concluded that asymmetric pixelation used in this method can be used in the design of antennas with different geometries.
Highlights
RECENTLY, WITH the increase in performance levels demanded in wireless communication technology, the need for low-profile and high-performance antenna design throughout the operating band is increasing
In addition to these methods, optimization algorithms play an important role in solving antenna design problems
As the complexity of the antenna design problems to be solved increased, optimization algorithms (Stochastic, Deterministic, Heuristic, Mathematical) that can discover many powerful, innovative and large solution sets that can be used by integrating numerical methods have been developed to overcome these problems in a short time [6,7,8]
Summary
RECENTLY, WITH the increase in performance levels demanded in wireless communication technology, the need for low-profile and high-performance antenna design throughout the operating band is increasing This need has led to the emergence of new developed solution methods different from traditional design methods [1,2]. Because traditional design methods used in antenna design problems are insufficient in solving complex problems In line with this rapid development, numerical solution methods are used in solving complex electromagnetic problems to obtain more accurate results in a shorter time [3,4,5]. In addition to these methods, optimization algorithms play an important role in solving antenna design problems.
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