Recursive Neural Network With Phase-Normalization for Modeling and Linearization of RF Power Amplifiers
Arne Fischer-Bühner,
Lauri Anttila,
Manil Dev Gomony
et al.
Abstract:This letter presents a novel phase-normalized recurrent neural network (PN-RNN) to linearize radio frequency (RF) power amplifiers (PAs) in high-bandwidth communication systems with significant memory effects. The proposed approach builds on proper phase alignment of the internal hidden variables in the recursive processing system. The provided RF measurement-based modeling and digital predistortion (DPD) results at 1.8 and 3.5 GHz demonstrate a significantly improved modeling capacity and predistortion abilit… Show more
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