Complexity-Reduced Model Adaptation for Digital Predistortion of RF Power Amplifiers With Pretraining-Based Feature Extraction-Reference-Cited by-同舟云学术

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Complexity-Reduced Model Adaptation for Digital Predistortion of RF Power Amplifiers With Pretraining-Based Feature Extraction

Published:2021-03 Issue:3 Volume:69 Page:1780-1790
ISSN:0018-9480
Container-title:IEEE Transactions on Microwave Theory and Techniques
language:
Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Li Yue^ORCID,Wang Xiaoyu^ORCID,Zhu Anding^ORCID

Funder

Science Foundation Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

http://xplorestaging.ieee.org/ielx7/22/9370012/09286857.pdf?arnumber=9286857

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Digital Predistortion Coefficients Prediction Technique for Dynamic PA Nonlinearities Using Artificial Neural Networks;IEEE Microwave and Wireless Technology Letters;2024-09

2. Low Complexity Digital Predistortion for Multiband Radio Over Fiber Systems;IEEE Microwave and Wireless Technology Letters;2024-07

3. A Low-complexity DPD Coefficient Update Method for Varying Transmission Configurations;2024 IEEE/MTT-S International Microwave Symposium - IMS 2024;2024-06-16

4. Behavioral Modeling of Millimeter Wave GaN Power Amplifiers for 6G Integrated Sensing and Communications Application;2024 IEEE/MTT-S International Microwave Symposium - IMS 2024;2024-06-16

5. Complexity-Optimized Sample Selection for Fast Adaptation of Digital Predistorter;IEEE Transactions on Microwave Theory and Techniques;2024

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