中国邮电高校学报(英文) ›› 2023, Vol. 30 ›› Issue (4): 75-85.doi: 10.19682/j.cnki.1005-8885.2023.2018

• Wireless • 上一篇    下一篇

Channel estimation based on multi-armed approach for maritime OFDM wireless communications

Zhang Qianqian, Xu Yanli   

  1. College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
  • 收稿日期:2022-09-01 修回日期:2023-03-21 接受日期:2023-08-31 出版日期:2023-08-31 发布日期:2023-08-31
  • 通讯作者: Xu Yanli, E-mail: ylxu@shmtu.edu.cn E-mail:ylxu@shmtu.edu.cn
  • 基金资助:
    This work was supported by the Natural Science Foundation Project of Shanghai ( 20ZR1423200 ), and the Innovation Program of Shanghai Municipal Education Commission (2021-01-07-00-10-E00121).

Channel estimation based on multi-armed approach for maritime OFDM wireless communications

Zhang Qianqian, Xu Yanli   

  1. College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
  • Received:2022-09-01 Revised:2023-03-21 Accepted:2023-08-31 Online:2023-08-31 Published:2023-08-31
  • Contact: Xu Yanli, E-mail: ylxu@shmtu.edu.cn E-mail:ylxu@shmtu.edu.cn
  • Supported by:
    This work was supported by the Natural Science Foundation Project of Shanghai ( 20ZR1423200 ), and the Innovation Program of Shanghai Municipal Education Commission (2021-01-07-00-10-E00121).

摘要: With the development of maritime informatization and the increased generation of marine data, the demands of efficient and reliable maritime communication surge. However, harsh and dynamic marine communication environmentcan distort transmission signal, which significantly weaken the communication performance. Therefore, for maritime wireless communication system, the channel estimation is often required to detect the channel suffered from the impacts of changing factors. Since there is no universal maritime communication channel model and channel varies dynamically, channel estimation method needs to make decision dynamically without pre-knowledge of channel distribution. This paper studies the radio channel estimation problem of wireless communications over the sea surface. To improve the estimation accuracy, this paper utilizes multi-armed bandit (MAB) problem to deal with the uncertainty of channel state information (CSI), then proposes a dynamic channel estimation algorithm to explore the global changing channel information, and asymptotically minimize the estimation error. By the aid of MAB, the estimation is not only dynamic according to channel variation, but also does not need to know the channel distribution. Simulation results show that the proposed algorithm can achieve higher estimation accuracy compared to matching pursuit (MP)-based and fractional Fourier transform (FrFT)-based methods.

关键词: maritime wireless communications, channel estimation, multi-armed bandit

Abstract: With the development of maritime informatization and the increased generation of marine data, the demands of efficient and reliable maritime communication surge. However, harsh and dynamic marine communication environmentcan distort transmission signal, which significantly weaken the communication performance. Therefore, for maritime wireless communication system, the channel estimation is often required to detect the channel suffered from the impacts of changing factors. Since there is no universal maritime communication channel model and channel varies dynamically, channel estimation method needs to make decision dynamically without pre-knowledge of channel distribution. This paper studies the radio channel estimation problem of wireless communications over the sea surface. To improve the estimation accuracy, this paper utilizes multi-armed bandit (MAB) problem to deal with the uncertainty of channel state information (CSI), then proposes a dynamic channel estimation algorithm to explore the global changing channel information, and asymptotically minimize the estimation error. By the aid of MAB, the estimation is not only dynamic according to channel variation, but also does not need to know the channel distribution. Simulation results show that the proposed algorithm can achieve higher estimation accuracy compared to matching pursuit (MP)-based and fractional Fourier transform (FrFT)-based methods.

Key words: maritime wireless communications, channel estimation, multi-armed bandit