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Wire antennas for textiles applications

English
Authors: T. Wiri Abraham;

Wire antennas for textiles applications

Abstract

This paper investigates the use of a Genetic Algorithm to produce an optimized compact monopole antenna for textile application. The antenna characteristics are examined using the Numerical Electromagnetic code (NEC2) with genetic algorithm (GA). The design objective for the antennas considered here is to drive the S11 to be less than or at least, as close as possible to -10dB, targeting this application (850-950 MHz) band. Results of return loss are also presented. The purpose of this study is to build a genetic algorithm (GA) optimisation of wire antennas for application at 900MHz. These antennas are fully textile, flexible and wearable. Measurement test was performed by placing the textile antenna sample close to the human chest while results were compared with simulation on a body phantom. Specific absorption rate was evaluated in CST Microwave Studio. To validate our results, four linear wire antenna designs, planar and embroidered antennas were fabricated, measured and compared with the simulation. Simulated and measured results show that all the antennas can operate at 900 MHz band. Key words: Genetic algorithm, linear wire, segment length, population, chromosome, specific absorption rate.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold