|Table of Contents|

Citation:
　Jiaheng Zhang,Wei Ge,Wentao Tong,et al.Turbo Equalization for Time-Varying Underwater Acoustic Channels with Imperfect Channel State Information[J].Journal of Marine Science and Application,2026,(2):630-639.[doi:10.1007/s11804-025-00694-5]
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Turbo Equalization for Time-Varying Underwater Acoustic Channels with Imperfect Channel State Information

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Title:
Turbo Equalization for Time-Varying Underwater Acoustic Channels with Imperfect Channel State Information
Author(s):
Jiaheng Zhang1; 2; 3;  Wei Ge1; 2; 3; 4;  Wentao Tong1; 2; 3;  Lin Cheng1; 2; 3
Affilations:
Author(s):
Jiaheng Zhang1; 2; 3;  Wei Ge1; 2; 3; 4;  Wentao Tong1; 2; 3;  Lin Cheng1; 2; 3
1. National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin, 150001, China;
2. Key Laboratory for Polar Acoustics and Application of Ministry of Education (Harbin Engineering University), Ministry of Education, Harbin, 150001, China;
3. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, 150001, China;
4. State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Science, Beijing, 10090, China
Keywords:
Imperfect channel state information|First-order autoregressive process|Turbo equalization|Time-varying channels|Underwater acoustics communication
分类号:
-
DOI:
10.1007/s11804-025-00694-5
Abstract:
Turbo equalization is commonly employed to compensate for multipath propagation in underwater acoustic (UWA) communication. However, the performance of turbo equalization degrades due to the imperfect channel state information (CSI) and time-varying channels. Herein, we first introduce a new derivation for turbo equalization based on the joint Gaussian criterion. On the basis of this derivation, a novel turbo equalization algorithm for time-varying UWA channels with imperfect CSI is proposed. The algorithm combines the imperfect CSI with the temporal coherence characteristics of UWA channels, which are modeled as a first-order autoregressive (AR(1)) process, to achieve a more accurate channel a posteriori distribution. Afterward, the refined distribution is incorporated into the design of the turbo equalizer, which can effectively reduce intersymbol interference and the Doppler effect. Simulation results show that the proposed algorithm has a better bit error rate performance than other turbo equalization algorithms with channel estimation error compensation or the AR(1) process for any iteration in fast time-varying scenarios.

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Memo

Memo:
Received date:2025-1-18;Accepted date:2025-3-10。<br>Foundation item:Supported by the National Natural Science Foundation of China (Grant No. 62301181), and the Excellent Youth Science Fund of Heilongjiang Province (Grant No. YQ2022F001).<br>Corresponding author:Wei Ge,E-mail:gewei@hrbeu.edu.cn
Last Update: 2026-06-08