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2018-06-21

Miniaturization of a PIFA Antenna for Biomedical Applications Using Artificial Neural Networks

By Asma Djellid, Lionel Pichon, Stavros Koulouridis, and Farid Bouttout
Progress In Electromagnetics Research M, Vol. 70, 1-10, 2018
doi:10.2528/PIERM18032705

Abstract

This work deals with the optimization of an inverted F dual-band implantable antenna operating in Medical Device Radiocommunications Service (MedRadio, 401-406 MHz) and Industrial Scientific Medical (ISM, 902-928 MHz) applications bands. Artificial neural networks (ANNs) are implemented to minimize the size of the initial design. The ANN's output with the physical and dielectric parameters of antenna as inputs is tested using COMSOL Multiphysics®. The obtained results regarding the return loss S11, resonant frequency and bandwidth of the antenna are presented and discussed. Indeed, the size of the antenna is reduced by 21.48% with respect to the initial size while preserving its initial good performance in both frequency bands.

Citation


Asma Djellid, Lionel Pichon, Stavros Koulouridis, and Farid Bouttout, "Miniaturization of a PIFA Antenna for Biomedical Applications Using Artificial Neural Networks," Progress In Electromagnetics Research M, Vol. 70, 1-10, 2018.
doi:10.2528/PIERM18032705
http://www.jpier.org/PIERM/pier.php?paper=18032705

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