A New Digital Predictive Predistorter for Behavioral Power Amplifier Linearization

• Published in: IEEE microwave and wireless components letters 2007-06, Vol.17 (6), p.448-450
• Main Authors: Montoro, G., Gilabert, P.L., Bertran, E., Cesari, A., Silveira, D.D.
• Format: Article
• Language: English
• Subjects: Adaptive structures; Amplifier distoriton; Amplifiers; Applied sciences; Circuit properties; Communication standards; Degradation; Digital; digital predistorter (PD); digital radio; Digital signal processing; direct learning approach; Electric, optical and optoelectronic circuits; Electronic circuits; Electronics; Exact sciences and technology; Learning; Linearity; Linearization; Lookup tables; Mathematical models; Microwave circuits, microwave integrated circuits, microwave transmission lines, submillimeter wave circuits; microwave power amplifiers (PAs); Microwaves; nonlinear auto-regressive moving average (NARMA); Peak to average power ratio; Power amplifiers; Predistortion; Radio frequency; Radio transmitters; Radiocommunications; Radiofrequency amplifiers; Telecommunications; Telecommunications and information theory; Transmitters. Receivers
• ISSN: 1531-1309; 2771-957X; 1558-1764; 2771-9588
• DOI: 10.1109/LMWC.2007.897797

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