Neural Network-Assisted DPD of Wideband PA Nonlinearity for Sub-Nyquist Sampling Systems

Neural Network-Assisted DPD of Wideband PA Nonlinearity for Sub-Nyquist Sampling Systems

The design of conventional digital predistortion (DPD) requires an analogue-to-digital converter (ADC) with a sampling frequency that is multiple times the signal bandwidth, which is extremely challenging for sub-Nyquist sampling systems with undersampled signals. To address this, this paper propose...

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Bibliographic Details
Main Authors: Mengqiu Liu, Xining Yang, Jian Gao, Sen Cao, Guisheng Liao, Gaopan Hou, Dawei Gao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
digital predistortion (DPD)
undersampling
memory polynomial
attention mechanism model
Online Access:https://www.mdpi.com/1424-8220/25/4/1106
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