An optimization of 15.12 GHz SPDT switch using particle swarm optimization algorithm

In this paper, a simulation-based particle swarm optimization (PSO) approach is developed to optimize the operational parameters of a 15.12 GHz single pole double throw (SPDT) switch. The Agilent Advance Design System (ADS) is used to synthesize the performance of the switch design while PSO is employed as the optimizer for achieving the required switch performance. The performance of the designed SPDT switch is assessed in terms of insertion loss and isolation. Simulation results show that the proposed component values of SPDT switch is manage to fulfill the required specifications, achieving 25.978dB of isolation loss and 3.077dB of insertion loss.