Abstract
It is a common practice to achieve reduction of wideband antenna size by incorporating appropriate geometrical modifications into conventional antenna topologies (e.g. monopoles or uniplanar structures). The authors investigate a particular type of modification, which is changing the geometry of the feed line. The two basic geometries include a taper and a steppedimpedance line. They carry out systematic investigations concerning the effect of these feed line geometries on obtainable antenna miniaturisation rates. For the sake of generality, feed line geometries of various complexities are considered (from two to six sections). An automated adjustment of antenna geometry parameters through numerical optimisation is performed to ensure design optimality for each combination of antenna/feed structure. The optimisation process is formulated as an explicit size reduction task with a constraint on the maximum in-band reflection level. The investigations are performed using two selected ultra-wideband monopoles. The results indicate clear advantage of the stepped-impedance feed line over the tapered one. On the other hand, considerable size reduction can be obtained by increasing the geometrical complexity of the feed line, although the design problem becomes more challenging due to the increased number of antenna parameters. Numerical results are validated experimentally for selected antenna prototypes.
Original language | English |
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Pages (from-to) | 2128-2134 |
Number of pages | 7 |
Journal | IET Microwaves, Antennas and Propagation |
Volume | 12 |
Issue number | 13 |
DOIs | |
Publication status | Published - 31 Oct 2018 |
Bibliographical note
Funding Information:The authors would like to thank the Computer Simulation Technology AG, Darmstadt, Germany, for making CST Microwave Studio available. This work was supported in part by the Icelandic Centre for Research (RANNIS) grant no. 174114051, and by the National Science Centre of Poland Grant 2015/17/B/ST6/01857, and by the National Natural Science Foundation of China Grant 61471258.
Publisher Copyright:
© The Institution of Engineering and Technology 2018.