A Low Running Complexity Model for Digital Predistortion of RF Power Amplifiers
Author:
Affiliation:
1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics
Link
http://xplorestaging.ieee.org/ielx7/7260/9941011/09797760.pdf?arnumber=9797760
Reference13 articles.
1. A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
2. Effects of Even-Order Nonlinear Terms on Power Amplifier Modeling and Predistortion Linearization
3. A Simplified Accuracy Enhancement to the Saleh AM/AM Modeling and Linearization of Solid-State RF Power Amplifiers
4. Baseband volterra filters with even-order terms: Theoretical foundation and practical implications
5. Complexity Optimized Digital Predistortion Model of RF Power Amplifiers
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1. An Enhanced Binary Particle Swarm Optimization for Pruning Digital Predistortion Models;IEEE Microwave and Wireless Technology Letters;2024-09
2. A Residual Selectable Modeling Method Based on Deep Neural Network for Power Amplifiers With Multiple States;IEEE Microwave and Wireless Technology Letters;2024-08
3. Low Computational Complexity Delay Estimation Algorithm for Digital Predistortion;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-07
4. Complexity-Optimized Sample Selection for Fast Adaptation of Digital Predistorter;IEEE Transactions on Microwave Theory and Techniques;2024
5. Pruned Basis Space Search for Digital Predistortion of RF Power Amplifiers;IEEE Transactions on Microwave Theory and Techniques;2023-07
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