Adaptive predistorter based oninverse saleh function and saleh model

This paper puts forward a adaptive inverse saleh function predistorter based on direct learning architecture according to the feature of saleh model to compensate for the nonlinearity of Power Amplifiers (PA). In this paper, we focus directly on a particular PA model and building a corresponding predistorter, After approximating the nonlinear static part by the four parameters function, Memoryless inverse saleh function model are adopted according to the saleh model. its parameters are estimated by using the intelligent algorithm. The identification technique of the predistortion is easy. It is proved to be correct through Matlab simulation.