Adaptive Impedance Tuning Network Using Genetic Algorithm: ITUNEGA

Wong, Yan Chiew (2016) Adaptive Impedance Tuning Network Using Genetic Algorithm: ITUNEGA. Journal Of Telecommunication Electronic And Computer Engineering (JTEC), 8. pp. 55-60. ISSN 2289-8131

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Adaptive impedance tuning algorithms are used to preserve the link quality of mobile phones under fluctuating user conditions.It is highly desirable to correct the complex impedance mismatch with high convergence rate.Presented here, is a novel technique for correcting impedance mismatch in adaptive impedance tuning network by exploiting the relationships among the genetic algorithm’s coefficient values derived from the matching network parameters. Simulation results demonstrate that the proposed impedance tunable algorithm (ITuneGA) outperforms conventional GA and LMS,with its fast convergence speed and high accuracy.The robustness of ITuneGA has been verified by using Pi-networks with two and four tuning elements.ITuneGA corrects antenna impedance mismatches and reduces the reflected power,thereby significantly improving the quality of the signal.

Item Type: Article
Uncontrolled Keywords: Tunable Impedance Network, Adaptive Algorithm, Genetic Algorithm, Impedance Network
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electronics and Computer Engineering > Department of Industrial Electronics
Depositing User: Mohd. Nazir Taib
Date Deposited: 22 May 2018 06:15
Last Modified: 10 Jul 2021 13:07
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