Adaptive Impedance Tuning Network using Genetic Algorithm: ITuneGA

Authors

  • Yan Chiew Wong Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, 76109 Melaka Malaysia
  • N.M. Mahmood Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia.
  • M.M Ibrahim Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia.
  • Syafeeza A.R. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia.
  • N. A. Hamid Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia.

Keywords:

tunable impedance network, adaptive algorithm, genetic algorithm, impedance network,

Abstract

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.

Author Biography

Yan Chiew Wong, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, 76109 Melaka Malaysia

Yan Chiew has completed her doctorate from The University of Edinburgh, United Kingdom on 2014. She has industry experience in semiconductor process design. Has previously worked at Infineon Technologies and Intel. Yan Chiew has involved intensively in the research of RF and mixed signal circuitries and power management control system.

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Published

2016-08-01

How to Cite

Wong, Y. C., Mahmood, N., Ibrahim, M., A.R., S., & A. Hamid, N. (2016). Adaptive Impedance Tuning Network using Genetic Algorithm: ITuneGA. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(5), 55–60. Retrieved from https://jtec.utem.edu.my/jtec/article/view/764

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Articles