Optimizing RF designs can be challenging. Employing traditional optimization techniques often requires evaluating hundreds of design variations, which is time prohibitive. Instead, the common optimization approach relies on engineering expertise and solving only a handful of design variations to manually determine the best design.
We have developed a novel optimizer that drastically reduces design optimization time. Using Ansys optiSLang to leverage the analytic derivatives computed by Ansys HFSS, an optimized design can typically be found by solving only a few design variations. Since this optimizer relies on the analytical derivatives in HFSS, it is applicable to any design optimization where geometry or material properties are varied and the device response is described by SYZ-parameters. This new optimizer can therefore be used for a wide range of applications, from antenna design to signal integrity applications.
In this webinar, we discuss the operation principles of this optimizer and highlight use cases.