Abstract
RF Power Amplifiers (PA) consumes a major part of available DC power in any wireless system. This article deals with behavioral modeling of RF Power Amplifiers using artificial neural networks. The developed model enables us to find energy consumption for a signal passing through the PA for a given Gain and maximum allowable distortion. The proposed modeling approach also enables us to linearize the PA by incorporating an inverse model of the PA in the baseband signal processor for compensating the distortion. The PA model can also be used as a sub-system model for evaluating the error performance of the overall system in terms of bit error rate (BER). The modeling method is validated for a class AB power amplifier design.
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