Title :
An improvement iterative approach for wideband digital predistortion using under-sampling
Author :
Lie Zhang ; Yan Feng
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
The performance of the traditional approach of wideband digital pre-distortion (DPD) of radio frequency (RF) power amplifier (PA) is subject to the analog to digital converter (ADC) sampling rate of transmitter. In this paper, an improvement DPD iterative approach is proposed. Firstly, DPD input signal and PA output signal are under-sampled by Zhu´s generalized sampling theorem (ZGST). Secondly, an optimized iterative model is employed to obtain DPD model. The parameters of it can be extracted by DPD input signal and PA output signal. This improvement DPD iterative approach not only reduces hardware requirement of ADC sampling rate but also gives almost same linear performance with that by full sampling rate. The performance is validated by measurement result.
Keywords :
analogue-digital conversion; iterative methods; radiofrequency power amplifiers; signal sampling; DPD input signal; PA output signal; RFPA; ZGST; Zhu generalized sampling theorem; analog-digital converter sampling rate; hardware requirement reduction; improvement DPD iterative approach; linear performance; optimized iterative model; radiofrequency power amplifier; transmitter ADC sampling rate; undersampling; wideband DPD; wideband digital predistortion; Iterative methods; Mathematical model; Nonlinear distortion; Power amplifiers; Radio frequency; Wideband; Digital pre-distortion (DPD); Power amplifier (PA); Sampling rate; Under-sampling; Zhu´s generalized sampling theorem (ZGST);
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
DOI :
10.1109/ChinaSIP.2014.6889327