A new digital predictive predistorter for behavioral power amplifier linearization
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hdl:2117/2027
Document typeArticle
Defense date2007-06
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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Abstract
This letter presents a new digital adaptive predistorter
(PD) for power amplifier (PA) linearization based on a nonlinear
auto-regressive moving average (NARMA) structure. The distinctive
characteristic of this PD is its straightforward deduction
from the NARMA PA model, without the need of using an indirect
learningapproachto identify the PD function.The PD itself presents
a NARMA structure, and hence it can be quickly implemented by
means of lookup tables. Single and multicarrier modulated signals
collected from a three-stage LDMOS class AB PA, with a maximum
output power of 48-dBm CW have been used to validate the
linearity performance of this new predictive predistorter.
CitationMontoro, G.; Gilabert, P. L.; Bertran, E.; Cesari, A.; Silveira, D. D. A new digital predictive predistorter for behavioral power amplifier linearization. IEEE Microwave and Wireless Components Letters, 2007, vol. 17, núm. 6, p. 448-450
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