Bandwidth-Scalable Digital Predistortion of Active Phased Array Using Transfer Learning Neural Network

Bandwidth-Scalable Digital Predistortion of Active Phased Array Using Transfer Learning Neural Network

This paper proposes a transfer learning neural network (TLNN) approach for digital pre-distortion (DPD) of mm-Wave active phased arrays (APA) operated under variable signal bandwidth regimes. Compared with the conventional artificial neural network (ANN) method, the proposed approach can achieve sim...

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Bibliographic Details
Main Authors: Feridoon Jalili, Felice Francesco Tafuri, Ole Kiel Jensen, Qingyue Chen, Ming Shen, Gert F. Pedersen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Active phased array (APA)
artificial neural networks (ANN)
transfer learning (TL)
digital pre-distortion (DPD)
over-the-air (OTA)
Online Access:https://ieeexplore.ieee.org/document/10038603/

Internet

https://ieeexplore.ieee.org/document/10038603/

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