Vector Decomposed Long Short-Term Memory Model for Behavioral Modeling and Digital Predistortion for Wideband RF Power Amplifiers

Vector Decomposed Long Short-Term Memory Model for Behavioral Modeling and Digital Predistortion for Wideband RF Power Amplifiers

This paper proposes two novel vector decomposed neural network models for behavioral modeling and digital predistortion (DPD) of radio-frequency (RF) power amplifiers (PAs): vector decomposed long short-term memory (VDLSTM) model and simplified vector decomposed long short-term memory (SVDLSTM) mode...

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Bibliographic Details
Main Authors: Hongmin Li, Yikang Zhang, Gang Li, Falin Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Nonlinear power amplifier
behavioral modeling
digital predistortion
neural network
long short-term memory
vector decomposed
Online Access:https://ieeexplore.ieee.org/document/9051831/

Internet

https://ieeexplore.ieee.org/document/9051831/

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