Digital predistortion processing method and system

摘要

A digital predistortion processing method and system comprises extracting from a predistortion coefficient parameter table a predistortion parameter corresponding to an input signal, so as to predistort the input signal and obtain a forward transmission signal; amplifying the power of the forward transmission signal to obtain an output signal; acquiring the output signal to obtain a feedback signal; delaying a predetermined number of sampling points so as to acquire the forward transmission signal and obtain a reference signal; conducting synchronization-related calculation on the reference signal and the feedback signal, and calibrating the feedback signal; training a predistortion coefficient according to the reference signal and the calibrated feedback signal; and forming the predistortion coefficient parameter table according to the predistortion coefficient and the amplitude of the input signal. The present invention can delay a predetermined number of sampling points for a transmission signal, thus greatly improving radio frequency index (ACPR).

主权项

1. A digital predistortion processing method, comprising:
extracting a predistortion parameter corresponding to an input signal from a predistortion coefficient parameter list to perform predistortion processing with a predistortion processor on the input signal to obtain a forward sending signal; performing power amplification processing with a power amplifier on the forward sending signal to obtain an output signal; collecting the output signal with a receiving end capture data controller to obtain a feedback signal; collecting the forward sending signal with a sending end capture data controller after delaying the forward sending signal for a preset number of sampling points to obtain a reference signal; performing synchronous correlation calculation with a synchronous correlation processor on the reference signal and the feedback signal to calibrate the feedback signal; training a predistortion coefficient with a predistortion coefficient training module according to the reference signal and the calibrated feedback signal; and forming the predistortion coefficient parameter list in a predistortion parameter memory according to the predistortion coefficient and the amplitude of the input signal.