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A switched behavioral model considering memory effects with a special focus on “difficult” amplifier architectures is proposed in this paper. The proposed model is shown to be very low-complex and linearly identifiable. A digital predistorter based on the proposed model is implemented for a 100-W 2.6-GHz Doherty power amplifier that has been considered difficult in other reports, and it is shown that the proposed models can successfully linearize the amplifier, both for a WCDMA signal and a more wideband long-term evolution signal. In particular, the proposed model and the digital predistorter is shown to outperform other state-of-the-art models and digital predistorters in terms of computational complexity for a given desired accuracy.
Afsardoost et al. (Tue,) studied this question.
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