Pruning strategies for a Volterra series model used in digital predistortion (DPD) of RF power amplifiers

Strategies for reducing the number of basis waveforms used in a Volterra series model for digital predistortion (DPD) of RF power amplifiers (PAs) are proposed. Simple DPD models are generalized so that elemental terms within the Volterra series are grouped together or pruned. It is shown that grouping and pruning produce similar ACLR results when the coefficient estimator notch filters the linear signal bandwidth and applies regularization.