TY - GEN
T1 - BiLSTM-Based Frame Synchronization for Overlapped S-AIS Signals
T2 - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
AU - Yang, Tiancheng
AU - He, Dongxuan
AU - Lu, Zhiping
AU - Wang, Hua
AU - Zhao, Hongye
AU - Wu, Zheng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, focusing on the signal detection of space-borne automatic identification system (S-AIS), two learning-empowered frame synchronization methods are proposed, which predict the accurate overlapping position of two S-AIS signals with the help of a bidirectional long short-term memory (BiLSTM) network. In particular, by regarding the frame synchronization as a binary classification issue, BiLSTM network can be utilized to find the overlapping position of the received signals accurately. Furthermore, convolutional neural network (CNN) is introduced into the proposed BiLSTM-based approach to handle the non-smooth power fluctuation. Simulation results show that our proposed learning-empowered methods outperform the conventional frame synchronization method in terms of accuracy and robustness, which can work effectively even under various communication conditions.
AB - In this paper, focusing on the signal detection of space-borne automatic identification system (S-AIS), two learning-empowered frame synchronization methods are proposed, which predict the accurate overlapping position of two S-AIS signals with the help of a bidirectional long short-term memory (BiLSTM) network. In particular, by regarding the frame synchronization as a binary classification issue, BiLSTM network can be utilized to find the overlapping position of the received signals accurately. Furthermore, convolutional neural network (CNN) is introduced into the proposed BiLSTM-based approach to handle the non-smooth power fluctuation. Simulation results show that our proposed learning-empowered methods outperform the conventional frame synchronization method in terms of accuracy and robustness, which can work effectively even under various communication conditions.
KW - BiLSTM
KW - CNN
KW - S-AIS communication systems
KW - frame synchronization
UR - http://www.scopus.com/inward/record.url?scp=85173035716&partnerID=8YFLogxK
U2 - 10.1109/ICCC57788.2023.10233418
DO - 10.1109/ICCC57788.2023.10233418
M3 - Conference contribution
AN - SCOPUS:85173035716
T3 - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
BT - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 August 2023 through 12 August 2023
ER -