The design and optimization of ultra wideband antenna based on particle swarm algorithm

To enable effective signal detection of human microwave, it is important to design high performance ultra-wideband wearable antenna. Due to its intrinsic complexity, antenna optimization is a nonlinear problem that is expensive to simulate and optimize. In this paper, we propose to optimize tapered slot antenna (TSA) with an improved particle swarm optimization (PSO) algorithm. Comparing to the state-of-the-art approach that adopts embedded genetic algorithm(GA) in HFSS, our proposed approach requires less than 20% simulation time when the antenna bandwidth ranges from 1.8GHz to 5.0Ghz with gain of 9.8 dB. The optimization results have been adopted to guide the fabrication of the antenna for detecting brain strokes, confirming the feasibility of the proposed algorithm.