Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps

Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps

Deep Learning methods have produced good carrier frequency offset estimations for short message sequences in comparison with methods based on the Fast Fourier Transform. However, these performance gains were observed for short ranges of frequency offsets, sequences with predefined pilot symbols and...

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Bibliographic Details
Main Authors: Christopher P. Davey, Ismail Shakeel, Ravinesh C. Deo, Sancho Salcedo-Sanz, Jeffrey Soar
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Chaotic communication
deep learning
fast fourier transforms
frequency synchronisation
carrier frequency offset estimation
Online Access:https://ieeexplore.ieee.org/document/9947074/

Internet

https://ieeexplore.ieee.org/document/9947074/

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