Publications Repository - Gdańsk University of Technology

Design of contemporary antenna systems encounters multifold challenges, one of which is a limited size. Compact antennas are indispensable for the new fields of application such as inter-net of things or 5G/6G mobile communication. Still, miniaturization generally undermines elec-trical and field performance. When attempted through numerical optimization, it turns into a constrained problem with costly constraints requiring electromagnetic (EM) simulations. At the same time, due to parameter redundancy of compact antennas, size reduction poses a multimod-al task. In particular, the achievable miniaturization rate heavily depends on the starting point, while identifying a suitable starting point is a challenge on its own. These issues indicate that miniaturization should be addressed through global optimization methods. Unfortunately, the most popular nature-inspired algorithms cannot be applied for solving size reduction tasks be-cause of their inferior computational efficacy and difficulties in handling constraints. This work proposes a novel methodology for globalized size reduction of antenna structures. Our method-ology is a multi-stage knowledge-based procedure, initialized by detection of the approximate location of the feasible region boundary, followed by a construction of a dimensionali-ty-reduced metamodel, and global optimization thereof; the last stage is miniaturiza-tion-oriented local refinement of geometry parameters. For cost reduction, the first stages of the procedure are realized with the use of low-fidelity EM antenna model. Our approach is verified using four broadband microstrip antennas, and benchmarked against multi-start local search, as well as nature-inspired methods. Superior size reduction rates are demonstrated for all consid-ered cases, while maintaining reasonably low computational costs.

Authors

• prof. dr inż. Sławomir Kozieł link open in new tab ,
• dr hab. inż. Anna Pietrenko-Dąbrowska link open in new tab ,
• dr inż. Łukasz Gołuński link open in new tab