TY - GEN
T1 - Synchronization Technology for Underwater Acoustic Mobile Communication
AU - Li, Xinyang
AU - Li, Wei
AU - Shi, Yao
N1 - Publisher Copyright:
© 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2023
Y1 - 2023
N2 - Synchronization, as the premise of high-quality communication, is a problem that cannot be underestimated. Underwater acoustic communication faces many problems that land communication does not have. For example, the large time delay expansion, the strong Doppler effect, and the time-varying channels. Therefore, this paper focuses on the synchronization technology for underwater acoustic mobile communication. In view of the serious influence of Doppler on underwater acoustic communication synchronization technology, Doppler factor block estimation methods of various preamble signals are analyzed. This article evaluates the Doppler estimated performance of two commonly used chirp signals LFM and HFM. Simulation results reveal that the estimation performance of both signals increases with sweep length, the performance of HFM signals is better than that of LFM signals. The maximum improvement of Doppler estimation error performance can reach about 50%. In order to solve the large error of Doppler estimation, this paper propose a Doppler compensation method using Q-learning in the case of blind estimation. Compared with the system without reinforcement learning, the bit error rate is reduced by two orders of magnitude, which verifies that Q-learning can significantly improve Doppler estimation and compensation.
AB - Synchronization, as the premise of high-quality communication, is a problem that cannot be underestimated. Underwater acoustic communication faces many problems that land communication does not have. For example, the large time delay expansion, the strong Doppler effect, and the time-varying channels. Therefore, this paper focuses on the synchronization technology for underwater acoustic mobile communication. In view of the serious influence of Doppler on underwater acoustic communication synchronization technology, Doppler factor block estimation methods of various preamble signals are analyzed. This article evaluates the Doppler estimated performance of two commonly used chirp signals LFM and HFM. Simulation results reveal that the estimation performance of both signals increases with sweep length, the performance of HFM signals is better than that of LFM signals. The maximum improvement of Doppler estimation error performance can reach about 50%. In order to solve the large error of Doppler estimation, this paper propose a Doppler compensation method using Q-learning in the case of blind estimation. Compared with the system without reinforcement learning, the bit error rate is reduced by two orders of magnitude, which verifies that Q-learning can significantly improve Doppler estimation and compensation.
KW - Doppler compensation
KW - Doppler estimation
KW - Q-learning
KW - chirp signal
KW - synchronization
KW - underwater acoustic communication
UR - https://www.scopus.com/pages/publications/85169421127
U2 - 10.1007/978-3-031-36014-5_23
DO - 10.1007/978-3-031-36014-5_23
M3 - 会议稿件
AN - SCOPUS:85169421127
SN - 9783031360138
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 272
EP - 289
BT - 6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings
A2 - Li, Ao
A2 - Xi, Liang
A2 - Shi, Yao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022
Y2 - 17 December 2022 through 18 December 2022
ER -