Optimization-Driven Antenna Design Framework With Multiple Performance Constraints

Abstract

This work proposes an optimization-driven framework that allows for antenna design with multiple constraints and tradeoff investigation between various objectives. In particular, it allows for antenna size reduction while maintaining other figures of merit (in terms of both electrical and field properties). We demonstrate our framework with UWB antennas size reduction taking into account matching, gain, efficiency, and radiation pattern stability constraints. Furthermore, we compare design tradeoffs between the minimum attainable antenna size and its electrical and field properties using seven design scenarios. The best possible tradeoffs are obtained using rigorous numerical optimization of all geometry parameters of the structure at hand. Two examples of UWB monopole antennas are provided to illustrate that the qualitative performance tradeoffs are very much dependent on a particular antenna topology and material properties of the substrate. Numerical results are supported by experimental validation.