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Open AccessArticle

Convolutional Neural Network (CNN)-Based Frame Synchronization Method

1
Department of Info. and Commun. Engineering, Hanbat National University, Daejeon 34158, Korea
2
School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea
3
Department of Electronics and Communications Engineering, Kwangwoon University 26 Kwangwoon-ro, Nowon-gu, Seoul 01891, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(20), 7267; https://doi.org/10.3390/app10207267
Received: 5 September 2020 / Revised: 11 October 2020 / Accepted: 14 October 2020 / Published: 17 October 2020
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
A new frame synchronization technique based on convolutional neural network (CNN) is proposed for synchronized networks. To estimate the exact packet arrival time, the receiver typically uses the correlator between the received signal and the preamble or pilot in front of the transmitted packet. The conventional frame synchronization technique searches the correlation peak within the time window. In contrast, the proposed method utilizes a CNN to find the packet arrival time. Specifically, in the proposed method, the 1D correlator output is converted into a 2D matrix by reshaping, and the resulting signal is inputted to the proposed 4-layer CNN classifier. Then, the CNN predicts the packet arrival time. To verify the frame synchronization performance, computer simulation is performed for two channel models: additive white Gaussian noise and fading channels. Simulation results show that the proposed CNN-based synchronization method outperforms the conventional correlation-based technique by 2dB. View Full-Text
Keywords: CNN; 2D transformation; frame synchronization; deep learning; synchronized communication networks CNN; 2D transformation; frame synchronization; deep learning; synchronized communication networks
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MDPI and ACS Style

Jeong, E.-R.; Lee, E.-S.; Joung, J.; Oh, H. Convolutional Neural Network (CNN)-Based Frame Synchronization Method. Appl. Sci. 2020, 10, 7267. https://doi.org/10.3390/app10207267

AMA Style

Jeong E-R, Lee E-S, Joung J, Oh H. Convolutional Neural Network (CNN)-Based Frame Synchronization Method. Applied Sciences. 2020; 10(20):7267. https://doi.org/10.3390/app10207267

Chicago/Turabian Style

Jeong, Eui-Rim; Lee, Eui-Soo; Joung, Jingon; Oh, Hyukjun. 2020. "Convolutional Neural Network (CNN)-Based Frame Synchronization Method" Appl. Sci. 10, no. 20: 7267. https://doi.org/10.3390/app10207267

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