A Novel Digital Predistortion Coefficients Prediction Technique for Dynamic PA Nonlinearities Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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A Novel Digital Predistortion Coefficients Prediction Technique for Dynamic PA Nonlinearities Using Artificial Neural Networks

Published:2024-09 Issue:9 Volume:34 Page:1115-1118
ISSN:2771-9588
Container-title:IEEE Microwave and Wireless Technology Letters
language:
Short-container-title:IEEE Microw. Wireless Tech. Lett.

Author:

Zhang Yufeng¹^ORCID,Chen Qingyue¹,Gao Kun²^ORCID,Liu Xin³^ORCID,Chen Wenhua¹^ORCID,Feng Haigang²^ORCID,Feng Zhenghe¹^ORCID,Ghannouchi Fadhel M.⁴^ORCID

Affiliation:

1. Department of Electronic Engineering, Tsinghua University, Beijing, China

2. Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

3. School of Microelectronics, Xidian University, Xi’an, China

4. Intelligent RF Radio Laboratory (iRadio Lab), University of Calgary, Calgary, AB, Canada

Funder

National Major Research Project

National Science Fund for Distinguished Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9944983/10666874/10633732.pdf?arnumber=10633732

Reference19 articles.

1. A Robust Digital Baseband Predistorter Constructed Using Memory Polynomials

2. A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers

3. Piecewise Digital Predistortion for mmWave Active Antenna Arrays: Algorithms and Measurements

4. A Low Complexity Moving Average Nested GMP Model for Digital Predistortion of Broadband Power Amplifiers

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

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