A Novel Undersampling Architecture for Wideband Digital Predistortion

Abstract

A novel undersampling architecture is employed to linearize the wideband power amplifiers (PAs) in this paper. The approach samples only I component of the feedback signal with a low sampling rate by means of the random demodulation-based reduced sampling rate (RDRS) method. It has lower complexity compared with some existing digital predistortion (DPD) systems, since a lower speed ADC in the feedback path is required. The least-square algorithm is adopted to extract the DPD coefficients. Experimental results show that the architecture achieves nearly the same linearization performance as the conventional methods and it is highly suitable for the broadband DPD.