콘텐츠 본문
논문 해외 국제전문학술지(SCI급) Frame synchronization by using convolutional neural network
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2019-09
- 저자명 정의림공동(교신),이의수
- 학술지명 International Journal of Advanced Science and Technology
- 발행처명 Science and Engineering Research Support SocietyPO Box 5014Sandy BayTASTasmania7005ijbsbt@sersc.org
- 발행국가 해외
- 논문언어 외국어
- 전체저자수 2
논문 초록 (Abstract)
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 2 dB .
