Simulation Model of a High Frequency Switching Antenna-Tuner, Operating on the Basis of Neural Networks, with Discrete Components

The article discusses the use of a simulation model to optimize the antenna matching process in communication systems. The model, based on neural networks, offers a more efficient solution compared to classical search algorithms. It reduces the time required for the process and improves the overall performance of the system. The article emphasizes that with technological advancements, the need for efficient communication systems is ever-increasing, and the antenna tuner plays a crucial role in this regard. The model offers promising prospects to enhance communication efficiency by leveraging the power of neural networks. High stability and satisfactory results are demonstrated with significant reduction in time compared to classical search algorithms, providing maximum antenna matching.