Enhanced Metasurface-MIMO Antenna Design for RF Energy Harvesting Applications Using Different Algorithms

The Multiple-Input Multiple-Output (MIMO) antenna arrangement introduced in this work is optimized for Radio Frequency (RF) energy use. Prior studies have shown unsatisfactory results in terms of isolation and bandwidth, which has led to the research of improvements. The proposed antenna was optimized using the Quasi-Newton algorithm, Genetic algorithm and sequential nonlinear algorithm and fed into to the Energy harvesting applications. Together with a metasurface lens, the antenna design incorporates a patch radiator that is positioned above a ground plane. The designed antenna underwent thorough simulations in the High-Frequency Structure Simulator (HFSS) software environment. Its physical dimensions are
$65\text{mmx}75\text{mmx}1.8\text{mm}$
. Notably, the suggested antenna achieved a Front-to-Back (F/B) ratio of 42 while displaying a gain of 5.2dBi. The suggested metasurface antenna was connected to a rectifier circuit to verify its viability for energy harvesting applications. During the experiment, 2.62V of DC voltage was produced. The HFSS software platform was used to simulate and thoroughly assess the performance of the antenna.