Acceleration of the Algorithm for Determining the Load Reflection Coefficient of Nonlinear Amplifiers based on X Parameters

In recent years, design algorithms have been introduced based on X parameters. One of these algorithms determines the load impedance that maximizes the output power. This algorithm uses an iterative process. The weighting factor in this algorithm determines the convergence rate of this algorithm. By choosing this weighting factor unsuitably, the algorithm may be slow down or become unstable. In this paper, a reduction weighted method and an adaptive weighing method are proposed to accelerate the convergence and prevent instability.  By using these methods in different amplifiers, their performance is investigated compared with constant weights. According to the results, the two proposed methods have a higher convergence rate than the constant weight algorithm. These methods are compared with each other. Finally, the adaptive weight algorithm with the lowest repeat steps was selected as the optimal method. Both of the proposed methods are stable in all cases.