PSO-based Combined Antenna and Matching Network Optimization for Mobile Terminals

Abstract : In this paper, the challenge of antenna design for a full-screen smartphone will be analyzed and an optimization methodology is introduced. The Particle Swarm Optimization algorithm is used in combination with HFSS and Optenni commercial software in order to simultaneously optimize the antenna geometry and the matching network. Optimizing antenna and matching network separately, as conventionally done, does not guarantee the optimal performance. The proposed method is tested on a very space constraint model with a 5mm # 5mm # 73mm volume for the antenna and a 140mm # 73mm ground plane.Within this space, an antenna solution covering the 700-960 MHz and 1690-2700 MHz bands with a minimal total efficiency higher than 50% has been obtained. This methodology has the potentials to enable an automatically and systematically design process for antenna-matching network systems.
Type de document :
Communication dans un congrès
Liste complète des métadonnées
Contributeur : Sophie Gaffé-Clément <>
Soumis le : vendredi 21 décembre 2018 - 11:49:23
Dernière modification le : lundi 1 avril 2019 - 15:07:08


  • HAL Id : hal-01963416, version 1



Tran Quang Khai Nguyen, Fabien Ferrero, Leonardo Lizzi. PSO-based Combined Antenna and Matching Network Optimization for Mobile Terminals.  EuCAP 2019, Mar 2019, Krakow, Poland. ⟨hal-01963416⟩



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