Digital Predistortion Based on Combined Feedback in MIMO Transmitters

被引:26
|
作者
Choi, Sungho [2 ]
Jeong, Eui-Rim [1 ]
机构
[1] Hanbat Univ, Dept Informat & Commun Engn, Taejon, South Korea
[2] Agcy Def Dev, Taejon 300600, South Korea
关键词
Combined feedback; MIMO; polynomial; power amplifier; predistortion;
D O I
10.1109/LCOMM.2012.080312.120224
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
An adaptive digital predistortion (PD) technique is proposed for linearization of power amplifiers (PAs) in multiple-input multiple-output (MIMO) transmitters. Instead of constructing a separate feedback path at each PA, we propose a PD technique based on a combined feedback, which adds all the PAs' outputs to form a single feedback. We develop an algorithm for finding the multiple PA characteristics jointly from the combined feedback. The PD parameters are calculated from the identified PA characteristics. Although the proposed method requires more computations for PA identification than the conventional method, its hardware implementation is much simpler and can overcome the crosstalk problem of a radio frequency (RF) selector, which is necessary for multiple feedback selection. The simulation results show that, despite its simple structure, the linearization performance of the proposed method is almost the same as the separate multiple feedback method.
引用
收藏
页码:1572 / 1575
页数:4
相关论文
共 50 条
  • [41] Spur Cancellation Digital Predistortion for HF Transmitters with Carrier Aggregation
    Chen, Long
    Chen, Wenhua
    Chen, Xiaofan
    Liu, Youjiang
    Feng, Zhenghe
    IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications, IMWS-AMP 2022 - Proceedings, 2022,
  • [42] Spur Cancellation Digital Predistortion for HF Transmitters with Carrier Aggregation
    Chen, Long
    Chen, Wenhua
    Chen, Xiaofan
    Liu, Youjiang
    Feng, Zhenghe
    2022 IEEE MTT-S INTERNATIONAL MICROWAVE WORKSHOP SERIES ON ADVANCED MATERIALS AND PROCESSES FOR RF AND THZ APPLICATIONS, IMWS-AMP, 2022,
  • [43] Digital Predistortion of Power Amplifiers for Spectrally Agile Wireless Transmitters
    Pagadarai, Srikanth
    Grover, Rohan
    Macmullan, Samuel J.
    Wyglinski, Alexander M.
    2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,
  • [44] A hybrid memory polynomial digital predistortion model for RF transmitters
    Ren, Jijun
    Xu, Ziyang
    Wang, Xing
    INTEGRATION-THE VLSI JOURNAL, 2025, 100
  • [45] An improved digital predistortion scheme for nonlinear transmitters with limited bandwidth
    Zhao, Linshan
    Ying, Kai
    Xiao, Disheng
    Pang, Jian
    Kang, Kai
    DIGITAL SIGNAL PROCESSING, 2025, 157
  • [46] Single-Model Single-Feedback Digital Predistortion for Concurrent Multi-Band Wireless Transmitters
    Yu, Chao
    Xia, Jing
    Zhu, Xiao-Wei
    Zhu, Anding
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2015, 63 (07) : 2211 - 2224
  • [47] A Robust Digital Predistortion Algorithm for 5G MIMO: Modeling a MIMO Scenario With Two Nonlinear MIMO Transmitters Including a Cross-Coupling Effect
    Ackermann, Thomas
    Potschka, Julian
    Maiwald, Tim
    Hagelauer, Amelie
    Fischer, Georg
    Weigel, Robert
    IEEE MICROWAVE MAGAZINE, 2020, 21 (07) : 54 - 62
  • [48] Nonlinear modeling and digital predistortion for HF transmitters with harmonic cancelation
    Chen, Long
    Chen, Wenhua
    Chen, Xiaofan
    Ghannouchi, Fadhel M.
    Feng, Zhenghe
    INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2023, 36 (04)
  • [49] Group Digital Predistortion With Step Uniformization for Hybrid Beamforming Transmitters
    Li, Caoyu
    He, Songbai
    You, Fei
    Hao, Peng
    Peng, Jun
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2021, 31 (01) : 88 - 91
  • [50] Low-Feedback Sampling Rate Digital Predistortion Using Deep Neural Network for Wideband Wireless Transmitters
    Hu, Xin
    Liu, Zhijun
    Wang, Weidong
    Helaoui, Mohamed
    Ghannouchi, Fadhel M.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (04) : 2621 - 2633