Optimization of a dual-band-antenna using Statistics on Structures (SoS)

With the advancement of the IoT (internet of things) miniaturization of wireless devices is very important. These devices are communicating in different frequency bands. One way of saving space is the use of multiple band antennas. The design of multiple band antennas is a task of reverse engineering in which the resonances of the antenna structure are tuned to given center frequencies. In this presentation it is shown how SoS (Statistics on Structures) in combination with electromagnetic field simulation using ANSYS HFSS can be used to generate a field meta model of optimal prognosis for the frequency response of the return loss. This field meta model is used to optimize the antenna with no additional solver runs. Also, this procedure allows to re-define scalar optimization criteria, after the DOE (Design of Experiment) has been calculated, by extracting quantities like the position and width of minima from the field meta model for the full frequency response. This allows for a lot of flexibility during the process of optimization.