SSA Based Microstrip Patch Antenna Design with FSS for UWB Application

Combination of several performances like bandwidth, radiation pattern, directivity, reactive surface effect and frequency are results of using FSS (Frequency Selective Surface) superstrate in antenna design. Microstrip Patch Antenna (MPA) is mainly modelled for Ultra Wide Band (UWB) applications. In our work, the Squirrel Search Algorithm (SSA) is used to optimize the width and length of tightly coupled FSS-UWB patch antenna. SSA improves the accuracy of the antenna designing parameters to maintain the gain and reduces the BW interference. Patch antenna structure is chosen and certain number of iterations with FSS parameters are simulated. High Frequency Structure Simulator (HFSS) working environment is used to simulate and analyse the design of proposed antenna systems. Resultant parameters like Voltage Standing Wave Ratio (VSWR), radiation pattern, return loss, directivity, gain, maximum efficiency, peak gain, BW and resonant frequency are compared with existing methods of Hybrid Particle Swarm optimization (HPSO) and Social Spider Optimization (SSO). Proposed model provides better performance than comparative designs by means of all resultant parameters.