查看文章

In this paper, an automatic antenna impedance matching technique is presented for a wide range of frequency bands where a low-complexity shallow learning model adaptively determines the component values of the matching circuit on a real-time. In general, matching networks require both the real and imaginary parts of the antenna impedance to determine the tuning parameters which involves expensive measurement equipment. The shallow learning model developed in this work needs only the magnitude of the antenna reflection coefficients ( ) to construct the impedance matching circuit. First, the tuning parameters were theoretically calculated and used for computer simulations to generate the data. In total 500 samples were generated, of which, 400 were used for training and 100 for validation. The proposed technique was applied to a novel inverted-F antenna resonating at 2.45 GHz for impedance …