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Three methods for extracting the behavioral modeling coefficients of the memory polynomial model are compared herein. The first one is the ordinary least square regression, which is widely used for adjusting model parameters; the second is the order recursive least squares, which is suitable for exploring the optimal nonlinearity order and memory depth by comparing subsequent errors while increasing...
This article presents an adaptive approach system to model the RF power amplifier behavior, taking into account memory effects and nonlinearities. These models are based in an offline training by applying an ANFIS, additionally the model performance is compared with a MPM traditional technique. The ANFIS using 10 or more epochs achieves a lower NMSE. The evaluation of the proposed ANFIS learning system...
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