Analysis of Deep Learning Models Towards High Performance Digital Predistortion for RF Power Amplifiers
Author:
Affiliation:
1. Virginia Tech,Multifunctional Integrated Circuits and System (MICS) Group,Bradley Department of Electrical and Computer Engineering,Blacksburg,Virginia,USA,24061
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937417.pdf?arnumber=9937417
Reference26 articles.
1. Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access
2. Deep Neural Network-Based Digital Predistorter for Doherty Power Amplifiers
3. Neural Network and Memory Polynomial Methodologies for PA Modeling
4. Physically Inspired Neural Network Model for RF Power Amplifier Behavioral Modeling and Digital Predistortion
5. Residual Neural Networks for Digital Predistortion
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