Learning the imperfections: New approach to using neural networks for low-power digital pre-distortion (DPD) in mmWave systems

Engineers have demonstrated a simple computational approach for improving the linearization of power amplifiers (PA), such as those used in mmWave systems and other telecommunication systems. The proposed technique involves training small neural networks to directly estimate the coefficients of a polynomial for digital pre-distortion (DPD) based on their frequency response during calibration sweeps.
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