Journal
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS
Volume 17, Issue 6, Pages 448-450Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LMWC.2007.897797
Keywords
amplifier distoriton; digital predistorter (PD); digital radio; direct learning approach; linearization; microwave power amplifiers (PAs); nonlinear auto-regressive moving average (NARMA); radio transmitters
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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 learning approach to 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.
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