Automatic impedance matching and antenna tuning using quantum genetic algorithms for wireless and mobile communications

In this study an adaptive impedance tuning scheme based on the quantum genetic algorithm (QGA) is proposed. A lowpass passive LC impedance matching network is used and tuned by a QGA controller. The tuning algorithm iterates until the matching point is reached. Simulations and results of the QGA tuning method are presented for 1.8 and 2.4 GHz of mobile and wireless communications with different antenna impedances. Comparison of the proposed QGA tuning method with conventional genetic algorithm-based tuning method is also given, which shows that the QGA tuning algorithm is much faster. The proposed QGA method can also be used for tuning a radiofrequency band by tuning the impedance matching network to the band centre frequency. Simulation results for the universal mobile telecommunications system band of 60 MHz width and Industrial, Scientific and Medical band of 200 MHz width all show good performances.