Training Deep Filters for Physical-Layer Frame Synchronization

Training Deep Filters for Physical-Layer Frame Synchronization

In this paper we demonstrate the application of Fully Convolutional Neural Network (FCN) for Frame Synchronization (FS) in bursty single carrier transmissions, commonly used in wireless sensor networks and Internet of Things (IoT) applications. Our approach shows greatly improved performance compare...

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Bibliographic Details
Main Authors: Sarunas Kalade, Louise H. Crockett, Robert W. Stewart
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Deep learning
fully convolutional neural network
frame synchronization
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/9810523/

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