Pruning strategies for a Volterra series model used in digital predistortion (DPD) of RF power amplifiers
R. Neil Braithwaite
Abstract
R. Neil Braithwaite
Abstract
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.
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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.
Key concepts: Predistortion, Volterra series, Amplifier, Estimator, RF power amplifier, Computer science, Electronic engineering, Bandwidth (computing)