Digital predistortion (DPD) has played an important role in current forth-generation (4G) mobile system to enhance the linearity of power amplifier (PA) and is expected to continue its functionality in forth-coming 5G. However, large signal bandwidth in 5G scenario complicates the implementation of DPD, especially the feedback path which DPD employs to observe PA output. In this paper, a novel feedback strategy is proposed for DPD of future wideband power amplifier (PA), using ADC with low sampling rate and narrow analog bandwidth. Some issues on practical hardware implementation are addressed to strengthen the realizability of our proposed approach. Simulation results show that similar linearization performance of PA can be achieved compared to conventional DPD, with much lower feedback cost.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Novel Digital Predistortion of 5G Wideband Power Amplifier with Narrow Bandwidth ADC


    Contributors:
    Guan, Ning (author) / Wang, Hua (author) / Li, Kenan (author)


    Publication date :

    2018-06-01


    Size :

    725887 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Wideband digital predistortion of solid-state radar amplifiers

    Dunn, Zachary / Yeary, Mark / Fulton, Caleb et al. | IEEE | 2016


    Bandwidth Constrained Digital Predistortion for Multicarrier Transparent Satellite Payloads

    Kelly, Noel / Allegue-Martinez, Michel / Zhu, Anding | AIAA | 2014


    Digital Predistortion for Wideband High Efficiency RF Power Amplifiers for High Throughput Satellites

    Abouelenin, A.M.I. / Underwood, C. / Utah State University; American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2013


    Impedance-Dependent Wideband Digital Predistortion of Solid-State Radar Amplifiers

    Dunn, Zachary / Yeary, Mark / Fulton, Caleb et al. | IEEE | 2017