Zeitschriftenartikel:
G. Montoro, P. Gilabert, E. Bertran, A. Cesari, D. Silveira:
"A New Digital Predictive Predistorter for Behavioral Power Amplifier Linearization";
IEEE Microwave and Wireless Components Letters,
vol. 17
(2007),
S. 448
- 450.
Kurzfassung englisch:
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 rhe 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 linearty performance of this new predictive predistorter.
Schlagworte:
amplifier distortion, digital predistorter (PD), digital radio, direct learning approach, linearization, microwave power amplifiers (PAs), nonlinear auto-regressive moving average (NARMA), radio transmitters