Affiliation:
1. Electromagnetics Group, Department of Information Technology, iMinds-Ghent University, 9000 Ghent, Belgium
2. Centre for Microsystems Technology, IMEC-Ghent University, 9000 Ghent, Belgium
Abstract
Designing textile antennas for real-life applications requires a design strategy that is able to produce antennas that are optimized over a wide bandwidth for often conflicting characteristics, such as impedance matching, axial ratio, efficiency, and gain, and, moreover, that is able to account for the variations that apply for the characteristics of the unconventional materials used in smart textile systems. In this paper, such a strategy, incorporating a multiobjective constrained Pareto optimization, is presented and applied to the design of a Galileo E6-band antenna with optimal return loss and wide-band axial ratio characteristics. Subsequently, different prototypes of the optimized antenna are fabricated and measured to validate the proposed design strategy.
Subject
Electrical and Electronic Engineering
Cited by
1 articles.
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1. Constrained multi-objective antenna design optimization using surrogates;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2017-05-04