William Thompson - IEEE Xplore Author Profile

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This paper offers a thorough comparison of two families of digital predistortion (DPD) behavioral models used for the linearization of high-efficiency dual-input wideband power amplifiers. Specifically, N-stage cascaded (CC) models are compared with artificial neural networks (ANNs) models in terms of linearization performance and computational complexity. The DPD models are designed balancing the...Show More
This paper explores the benefits of utilizing multistage cascaded (CC) behavioral models for digital predistortion (DPD) linearization of wideband high-efficiency power amplifiers (PAs). To reduce the computational complexity of these multistage CC behavioral models, a model-order reduction technique based on a greedy algorithm is proposed. The advantages of employing CC DPD models with gradient d...Show More