Behavioral Modeling of Power Amplifier with Memory Effect and Linearization Using Digital Pre Distortion

Abstract: This thesis work studied the behavioral modeling, estimation of parameters, model performance and linearization of power amplifier (PA) using Digital Pre Distortion (DPD) technique. PAs are one of the fundamental block in communication systems and also one of the main sources of nonlinearities in the system, as these devices are frequently subjected to signals characterized by considerable bandwidths and non-constant envelopes due to use of modern modulation technique. Moreover, PAs have high efficiency level at its nonlinear region. So, to operate the PA at its high efficiency region, linearization operation needs to be done. This has been investigated in this thesis work with the help of behavioral modeling and DPD. An essential initial step in designing a linearizer for a PA is to model the PA nonlinearity accurately. Behavioral modeling has been used for PA model for its computational efficiency, which means by relating input and output signals without addressing to the physical analysis of the device. DPD technique has been chosen for linearizing the performance of PA based on their low requirement of resources for implementation. In this thesis, five different PA models with memory effect, based on Volterra series, are studied and compared for three different PAs selected by Ericsson. These PAs are designed for third and fourth generation telecommunication system. Two different signals with different peak to average ratios and different bandwidths have been used as input signals of PA for this study. The main result in this thesis work includes the comparison of all five forward behavioral modeling results for all three PA’s. The results also describe that; two of the given PA’s can be linearized by using the DPD technique within the 3GPP standard regulations for ACPR.