Expedited simulation‐driven design optimization of UWB antennas by means of response features. Issue 6 (22nd February 2017)

• Record Type: Journal Article
• Authors: Koziel, Slawomir; Bekasiewicz, Adrian
• Is Part Of: International journal of RF and microwave computer-aided engineering. Volume 27:Issue 6(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-02-22
• Subjects: antenna design -- design optimization -- feature‐based optimization -- response features -- simulation‐driven design -- surrogate modeling -- UWB antennas; Microwave devices -- Computer-aided design -- Periodicals; Computer-aided engineering -- Periodicals; 621.3813
• DOI: 10.1002/mmce.21102
• Languages: English
• ISSNs: 1096-4290

Abstract

Abstract: In this work, a method for fast design optimization of broadband antennas is considered. The approach is based on a feature‐based optimization (FBO) concept where reflection characteristics of the structure at hand are formulated in terms of suitably defined feature points. Redefinition of the design problem allows for reducing the design optimization cost, because the dependence of feature point coordinates on antenna dimensions is less nonlinear than for the original frequency characteristics (here, S ‐parameters). This results in faster convergence of the optimization algorithm. The cost of the design process is further reduced using variable‐fidelity electromagnetic (EM) simulation models. In case of UWB antennas, the feature points are defined, among others, as the levels of the reflection characteristic at its local in‐band maxima, as well as location of the frequency point which corresponds to acceptable reflection around the lower corner frequency within the UWB band. Also, the number of characteristic points depends on antenna topology and its dimensions. Performance of FBO‐based design optimization is demonstrated using two examples of planar UWB antennas. Moreover, the computational cost of the approach is compared with conventional optimization driven by a pattern search algorithm. Experimental validation of the numerical results is also provided.