Microstrip Patch Antenna Design with Improved Shark Smell Optimization Model

While considering the technological developments, antennas are playing a bigger role. The ultra wide band antennas has improved the quality and becoming more appealing in current and upcoming distant communication systems. Microstrip antennas are constructed using a microstrip technique on a Printed circuit board (PCB) at microwave frequencies. The patch is affixed to a substrate along a lower plane, which is advantageous for better appearance in different applications. Further, the feed line, ground plane, patch, and dielectric substrate are the major components of a microstrip antenna. This antenna provides a number of advantages, including low weight, cheap cost, small dimensions, and a low profile. Coaxial feeding techniques could be used to build a microstrip antenna with four phased array elements. When compared to a reflector antenna connected to a PCB, it is more compatible. Therefore, this paper introduce an optimized Microstrip patch antenna (MPA) design, where the antenna parameters including the patch height, patch length, substrate width and substrate length are optimally tuned using a proposed Shark Smell optimization with Opposition Based Learning (SSO-OBL) algorithm. At last, the performance of developed approach is examined through assessment over extant techniques.