Metaheuristic (Ant Colony Optimization) Algorithm-Based Optimization of an Equilateral Triangle Shaped Patch Antenna for Medical Purposes
Keywords:
VSWR, Return loss, Ant colony optimization (ACO) Algorithm, High frequency structure simulator (HFSS), Advanced design system (ADS), Matrix laboratory (MATLAB)Abstract
This paper presents the design, simulation, optimization, fabrication and testing of an equilateral shaped antenna for medical applications, Ant colony optimization (ACO) Algorithm was chosen for antenna optimization. The antenna considered here was fed by a 1.59mm diameter coaxial cable, the location of feeding and the side length of star shaped antenna was varied by Ant colony optimization Algorithm (ACO). Finding a set of settings that would enhance the antenna's performance was the optimization's goal. We have made use of MATLAB software to implement ACO Algorithm. The Ansys HFSS software was used to design antenna. Ansys HFSS software allows MATLAB to be interfaced with it for optimization purpose. The parameters considered were return loss (reflection coefficient S11) and the Voltage Standing Wave Ratio (VSWR). The ACO yielded a design with return loss (S11) of -25.55 and VSWR of 1.11 at 2.48 GHz. The entire antenna dimensions were approximately (5cm x 5cm). The substrate used was FR4 (flame retardant) epoxy. The fabricated antenna was tested in Anechoic chamber using network analyzer. There was strong good agreement between the measurements from the antenna's fabrication and simulation, for the operational frequency of 2.48 GHz and desirable performance in return loss, and VSWR (Voltage Standing Wave Ratio) parameters. the fabricated antenna along with Arduino uno microcontroller was used to transmit and receive physiological information like temperature and heart rate for a health care application
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