Modeling Power Amplifiers using Memory Polynomials

In this paper we present measured inand output data of a power amplifier (PA). We compare this data with an AM-AM and AM-PM model. We conclude that a more sophisticated PA model is needed to cope with severe memory effects. We suggest to use memory polynomials and introduce two approaches to deduce the polynomial coefficients from the measured data: the Least-Squares and Crosscorrelation approaches. We construct PA models according to both approaches, using the measured data. We compare the two PA models with the original AM-AM and AM-PM model.