A Miniaturized Reconfigurable Antenna using Quantum Genetic Algorithm Optimization

2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)(2021)

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摘要
This paper presents a volumetrically folded antenna design that is further miniaturized and reconfigured by employing Quantum Genetic Algorithm (QGA). The employed QGA determines the pixelated topology of the antenna structure, its feeding point, and the position of the single switch reconfiguring the antenna's frequency operation. As a result, the antenna operates at 868 MHz and 1.865 GHz when the switch is ON and regains operation at 2.4 GHz when the switch is OFF. In addition, the antenna size is reduced by 87% at 868 MHz, in comparison with planar antennas operating at the same frequency. The presented reconfigurable antenna can be proposed for Wi-Fi enabled Internet of Things (IoT) devices' integration.
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关键词
Folded antenna,IoT,Miniaturization,Quantum Genetic Algorithm,Small antenna,Reconfiguration,Automated Design
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