Bandwidth-Scalable Digital Predistortion Using Multigroup Aggregation Neural Network for PAs

被引：0
|
作者：
Tang, Yijie [1 ]
Peng, Jun [1 ]
He, Songbai [1 ]
You, Fei [1 ]
Wang, Xinyu [1 ]
Zhong, Tianyang [1 ]
Bian, Yuchen [1 ]
Pang, Bo [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Sci Engn, Chengdu 611731, Peoples R China
来源：
IEEE MICROWAVE AND WIRELESS TECHNOLOGY LETTERS | 2024年 / 34卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Bandwidth; Artificial neural networks; Accuracy; Vectors; Adaptation models; Indexes; Predistortion; Wireless communication; Polynomials; Data models; Bandwidth-scalable; digital predistortion (DPD); neural network (NN); power amplifiers (PAs);
D O I：
10.1109/LMWT.2024.3464849
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A multigroup aggregation neural network (MGANN) model for bandwidth-scalable digital predistortion (DPD) is proposed. The MGANN model introduces a multinetwork structure based on the characteristics of neural networks (NNs) to broaden the bandwidth application range and eliminate the updates online. The proposed structure combines the input layer and the first hidden layer into multiple networks retrieved by means of inertia coefficients. In addition, to improve modeling accuracy, a new input vector is used by introducing the product term of I/Q components and the amplitude of the signal. The experimental results indicate that the proposed model can significantly improve the adjacent channel power ratio (ACPR) within the range of 20-200M with an average of 12.1 dB compared with traditional GMP models when using a fixed set of parameters.
引用
收藏
页码：1387 / 1390
页数：4
相关论文
共 50 条
  • [41] Physically inspired neural network model for RF power amplifier behavioral modeling and digital predistortion
    Mkadem, Farouk
    Boumaiza, Slim
    IEEE Transactions on Microwave Theory and Techniques, 2011, 59 (4 PART 1) : 913 - 923
  • [42] Augmented Convolutional Neural Network for Behavioral Modeling and Digital Predistortion of Concurrent Multiband Power Amplifiers
    Jaraut, Praveen
    Abdelhafiz, Abubaker
    Chenini, Hanen
    Hu, Xin
    Helaoui, Mohamed
    Rawat, Meenakshi
    Chen, Wenhua
    Boulejfen, Noureddine
    Ghannouchi, Fadhel M.
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2021, 69 (09) : 4142 - 4156
  • [43] Physically Inspired Neural Network Model for RF Power Amplifier Behavioral Modeling and Digital Predistortion
    Mkadem, Farouk
    Boumaiza, Slim
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2011, 59 (04) : 913 - 923
  • [44] A Low Complexity Extended Kalman Filter Algorithm for Neural Network Digital Predistortion of Power Amplifier
    Wu, Linhuang
    Su, Kaixiong
    Chen, Zhifeng
    Chen, Pingping
    2017 INTERNATIONAL CONFERENCE ON GREEN INFORMATICS (ICGI), 2017, : 17 - 24
  • [45] Artificial Neural Network-Based Complex Gain Technique for Digital Predistortion of Power Amplifiers
    Zhao, Zhihao
    Liu, Wenyuan
    Yan, Shuxia
    Feng, Feng
    2020 13TH UK-EUROPE-CHINA WORKSHOP ON MILLIMETRE-WAVES AND TERAHERTZ TECHNOLOGIES (UCMMT2020), 2020,
  • [46] Neural Network on the Edge: Efficient and Low Cost FPGA Implementation of Digital Predistortion in MIMO Systems
    Jiang, Yiyue
    Vaicaitis, Andrius
    Leeser, Miriam
    Dooley, John
    2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, 2023,
  • [47] Instant Gated Recurrent Neural Network Behavioral Model for Digital Predistortion of RF Power Amplifiers
    Li, Gang
    Zhang, Yikang
    Li, Hongmin
    Qiao, Wen
    Liu, Falin
    IEEE ACCESS, 2020, 8 : 67474 - 67483
  • [48] Optimizing Direct Learning Neural Network Digital Predistortion through the Lottery Ticket Hypothesis Agent
    Loebl, Erez
    Ginzberg, Nimrod
    Cohen, Emanuel
    2024 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM, IMS 2024, 2024, : 192 - 195
  • [49] Review of the Neural Network based Digital Predistortion Linearization of Multi-Band/MIMO Transmitters
    Jaraut, Praveen
    Helaoui, Mohamed
    Chen, Wenhua
    Rawat, Meenakshi
    Boulejfen, Noureddine
    Ghannouchi, Fadhel M.
    2021 IEEE MTT-S INTERNATIONAL WIRELESS SYMPOSIUM (IWS 2021), 2021,
  • [50] Behavior Modeling and Digital Predistortion of Mismatched Wireless Transmitters Using Convolutional Neural Networks
    Jaraut, Praveen
    Dhar, Sagar K.
    Helaoui, Mohamed
    Boulejfen, Noureddine
    Rawat, Meenakshi
    Chen, Wenhua
    Rawat, Karun
    Outaleb, Noureddine
    Ghannouchi, Fadhel M.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 70 (01) : 336 - 340
12345